diff --git "a/unet.xml" "b/unet.xml"
--- "a/unet.xml"
+++ "b/unet.xml"
@@ -1,10 +1,13 @@
 <?xml version="1.0"?>
-<net name="Model2" version="11">
+<net name="Model0" version="11">
 	<layers>
-		<layer id="2" name="latent_model_input" type="Parameter" version="opset1">
+		<layer id="3" name="sample" type="Parameter" version="opset1">
 			<data shape="1,4,64,64" element_type="f32" />
+			<rt_info>
+				<attribute name="old_api_map_element_type" version="0" value="f16" />
+			</rt_info>
 			<output>
-				<port id="0" precision="FP32" names="latent_model_input">
+				<port id="0" precision="FP32" names="sample">
 					<dim>1</dim>
 					<dim>4</dim>
 					<dim>64</dim>
@@ -12,17 +15,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1" name="time_proj" type="Parameter" version="opset1">
-			<data shape="1,1280" element_type="f32" />
+		<layer id="2" name="timestep" type="Parameter" version="opset1">
+			<data shape="1" element_type="f32" />
+			<rt_info>
+				<attribute name="old_api_map_element_type" version="0" value="f16" />
+			</rt_info>
 			<output>
-				<port id="0" precision="FP32" names="time_proj">
+				<port id="0" precision="FP32" names="timestep">
 					<dim>1</dim>
-					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="0" name="encoder_hidden_states" type="Parameter" version="opset1">
+		<layer id="1" name="encoder_hidden_states" type="Parameter" version="opset1">
 			<data shape="1,77,768" element_type="f32" />
+			<rt_info>
+				<attribute name="old_api_map_element_type" version="0" value="f16" />
+			</rt_info>
 			<output>
 				<port id="0" precision="FP32" names="encoder_hidden_states">
 					<dim>1</dim>
@@ -31,697 +39,598 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3" name="Constant_75260362171187" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="0" size="1280" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>320</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4" name="Constant_75259362274976" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1280" size="10240" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>2560</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5" name="Constant_75256362373566" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="11520" size="1280" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>320</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6" name="Constant_75252362479497" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="12800" size="1280" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>320</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="7" name="Constant_75241362578279" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="14080" size="1280" />
+		<layer id="0" name="timestep_cond" type="Parameter" version="opset1">
+			<data shape="1,256" element_type="f32" />
+			<rt_info>
+				<attribute name="old_api_map_element_type" version="0" value="f16" />
+			</rt_info>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP32" names="timestep_cond">
 					<dim>1</dim>
-					<dim>1</dim>
-					<dim>320</dim>
+					<dim>256</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="8" name="Constant_75240362677322" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="15360" size="10240" />
+		<layer id="4" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::empty/Convert_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>2560</dim>
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+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="9" name="Constant_75237362777982" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="25600" size="1280" />
+		<layer id="5" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::empty/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>320</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="10" name="Constant_75233362871586" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="26880" size="1280" />
+		<layer id="6" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::empty/Convert_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="2" size="2" />
 			<output>
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-					<dim>1</dim>
-					<dim>320</dim>
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+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1, 320" offset="28160" size="1280" />
+		<layer id="7" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::empty/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
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-					<dim>1</dim>
-					<dim>320</dim>
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+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1, 2560" offset="29440" size="10240" />
+		<layer id="8" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::empty/Convert_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="4" size="2" />
 			<output>
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-					<dim>1</dim>
-					<dim>2560</dim>
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+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1, 320" offset="39680" size="1280" />
+		<layer id="9" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::empty/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+				<port id="1" precision="FP32" />
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-			<data element_type="f32" shape="1, 1, 320" offset="40960" size="1280" />
+		<layer id="10" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::empty/Convert_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="6" size="2" />
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+		<layer id="11" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::empty/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+		<layer id="12" name="__module.model.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::empty/Convert_compressed" type="Const" version="opset1">
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+			<data destination_type="f32" />
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+			<data destination_type="f32" />
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+		<layer id="65" name="__module.model.down_blocks.0.attentions.0.transformer_blocks.0.attn2/aten::empty/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
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 		</layer>
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+		<layer id="66" name="__module.model.down_blocks.0.attentions.0.transformer_blocks.0.attn1/aten::empty/Convert_compressed" type="Const" version="opset1">
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-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="67" name="__module.model.down_blocks.0.attentions.0.transformer_blocks.0.attn1/aten::empty/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
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-					<dim>64</dim>
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+				<port id="1" precision="FP32" />
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 		</layer>
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-			<data element_type="i8" shape="320, 4, 3, 3" offset="549128" size="11520" />
+		<layer id="68" name="self.model.conv_in.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 4, 3, 3" offset="64" size="23040" />
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 					<dim>4</dim>
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@@ -729,10 +638,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="73" name="conv_in.weight368542254/quantized/to_f32" type="Convert" version="opset1">
+		<layer id="69" name="self.model.conv_in.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 			<input>
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 					<dim>3</dim>
@@ -748,43 +660,7 @@
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 		</layer>
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-			</output>
-		</layer>
-		<layer id="76" name="/conv_in/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="70" name="__module.model.conv_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -809,10 +685,10 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 320, 1, 1" offset="561928" size="1280" />
+		<layer id="71" name="__module.model.conv_in/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="23104" size="640" />
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 					<dim>320</dim>
 					<dim>1</dim>
@@ -820,14 +696,36 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="78" name="/conv_in/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="72" name="__module.model.conv_in/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="73" name="__module.model.conv_in/aten::_convolution/Add_37" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
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+					<dim>64</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
@@ -837,7 +735,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/conv_in/Conv_output_0">
+				<port id="2" precision="FP32" names="751,input.7">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -845,15 +743,15 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="3" offset="563208" size="24" />
+		<layer id="74" name="__module.model.down_blocks.0.resnets.0.norm1/aten::group_norm/Constant_40" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23744" size="12" />
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/resnets.0/norm1/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>3</dim>
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 			</output>
 		</layer>
-		<layer id="80" name="/down_blocks.0/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+		<layer id="75" name="__module.model.down_blocks.0.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -862,27 +760,27 @@
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
-				<port id="1" precision="I64">
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 			</input>
 			<output>
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+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>40960</dim>
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 			</output>
 		</layer>
-		<layer id="81" name="Constant_833369174103" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="563232" size="8" />
+		<layer id="76" name="__module.model.down_blocks.0.resnets.0.norm1/aten::group_norm/Constant_41" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23756" size="4" />
 			<output>
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 		</layer>
-		<layer id="82" name="MVN_834" type="MVN" version="opset6">
+		<layer id="77" name="__module.model.down_blocks.0.resnets.0.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -890,35 +788,27 @@
 					<dim>32</dim>
 					<dim>40960</dim>
 				</port>
-				<port id="1" precision="I64">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/norm1/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>40960</dim>
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 			</output>
 		</layer>
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-					<dim>320</dim>
-					<dim>64</dim>
-					<dim>64</dim>
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-			</input>
+		<layer id="78" name="__module.model.down_blocks.0.resnets.0.norm1/aten::group_norm/ShapeOf" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="23760" size="16" />
 			<output>
-				<port id="1" precision="I64" names="/down_blocks.0/resnets.0/norm1/Shape_output_0">
+				<port id="0" precision="I32">
 					<dim>4</dim>
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 		</layer>
-		<layer id="84" name="/down_blocks.0/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+		<layer id="79" name="__module.model.down_blocks.0.resnets.0.norm1/aten::group_norm/Reshape_42" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -926,12 +816,12 @@
 					<dim>32</dim>
 					<dim>40960</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/norm1/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -939,10 +829,32 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="85" name="Constant_74925369576578" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 320, 1, 1" offset="563240" size="1280" />
+		<layer id="80" name="Constant_210862_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="23776" size="640" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="81" name="Constant_210862" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -950,7 +862,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="86" name="/down_blocks.0/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+		<layer id="82" name="__module.model.down_blocks.0.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -967,7 +879,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/norm1/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -975,10 +887,10 @@
 				</port>
 			</output>
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+		<layer id="83" name="Constant_210863_compressed" type="Const" version="opset1">
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@@ -986,16 +898,13 @@
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 		</layer>
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+		<layer id="84" name="Constant_210863" type="Convert" version="opset1">
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 		</layer>
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+		<layer id="85" name="__module.model.down_blocks.0.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
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@@ -1019,9 +929,15 @@
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 					<dim>64</dim>
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@@ -1029,32 +945,7 @@
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@@ -1062,13 +953,9 @@
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@@ -1076,10 +963,10 @@
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@@ -1087,10 +974,13 @@
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 		</layer>
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 			<data destination_type="f32" />
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@@ -1106,43 +996,7 @@
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 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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+		<layer id="90" name="__module.model.down_blocks.0.resnets.0.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
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@@ -1178,7 +1054,7 @@
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 			</output>
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 			</input>
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@@ -1203,756 +1079,864 @@
 				</port>
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 		</layer>
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 		</layer>
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+		<layer id="154" name="37" type="Const" version="opset1">
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 					<dim>320</dim>
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 		</layer>
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@@ -1964,12 +1948,12 @@
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 					<dim>320</dim>
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 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -1977,15 +1961,15 @@
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+		<layer id="157" name="__module.model.down_blocks.0.resnets.0.norm2/aten::group_norm/Constant_63" type="Const" version="opset1">
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 		</layer>
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@@ -1994,48 +1978,48 @@
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 					<dim>64</dim>
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+		<layer id="164" name="Constant_210867" type="Convert" version="opset1">
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+		<layer id="167" name="Constant_210868" type="Convert" version="opset1">
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@@ -2176,13 +2179,9 @@
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@@ -2190,101 +2189,90 @@
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 			<data destination_type="f32" />
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+		<layer id="174" name="__module.model.down_blocks.0.resnets.0.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
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@@ -2292,7 +2280,7 @@
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@@ -3437,412 +3349,284 @@
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@@ -3850,272 +3634,212 @@
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@@ -4126,454 +3850,738 @@
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@@ -4585,78 +4593,80 @@
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@@ -5084,1500 +5039,1852 @@
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+		<layer id="485" name="__module.model.down_blocks.0.attentions.0/prim::ListConstruct_323/Reshape_0" type="Const" version="opset1">
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+		<layer id="486" name="__module.model.down_blocks.0.attentions.0/prim::ListConstruct_323/Reshape_1" type="Const" version="opset1">
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+		<layer id="487" name="__module.model.down_blocks.0.attentions.0/prim::ListConstruct_323/Reshape_2" type="Const" version="opset1">
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+		<layer id="488" name="__module.model.down_blocks.0.attentions.0/prim::ListConstruct_323/Concat" type="Concat" version="opset1">
+			<data axis="0" />
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+				<port id="4" precision="I32" names="935">
+					<dim>4</dim>
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 		</layer>
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-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="489" name="__module.model.down_blocks.0.attentions.0/aten::reshape/Reshape_324" type="Reshape" version="opset1">
+			<data special_zero="false" />
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+				<port id="1" precision="I32">
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 					<dim>64</dim>
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+		<layer id="490" name="10" type="Const" version="opset1">
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-					<dim>3</dim>
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 		</layer>
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+		<layer id="491" name="__module.model.down_blocks.0.attentions.0/aten::permute/Transpose_325" type="Transpose" version="opset1">
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+		<layer id="492" name="self.model.down_blocks.0.attentions.0.proj_out.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320, 1, 1" offset="13686368" size="204800" />
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-			<data auto_broadcast="numpy" />
+		<layer id="493" name="self.model.down_blocks.0.attentions.0.proj_out.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
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 			</input>
 			<output>
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 					<dim>320</dim>
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-					<dim>3</dim>
+					<dim>1</dim>
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 		</layer>
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-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="494" name="__module.model.down_blocks.0.attentions.0.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
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@@ -6588,8 +6895,8 @@
 				<port id="1" precision="FP32">
 					<dim>320</dim>
 					<dim>320</dim>
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-					<dim>3</dim>
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 			<output>
@@ -6601,10 +6908,32 @@
 				</port>
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 		</layer>
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-			<data element_type="f32" shape="1, 320, 1, 1" offset="9333572" size="1280" />
+		<layer id="495" name="__module.model.down_blocks.0.attentions.0.proj_out/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="13891168" size="640" />
 			<output>
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+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="496" name="__module.model.down_blocks.0.attentions.0.proj_out/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
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+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 					<dim>320</dim>
 					<dim>1</dim>
@@ -6612,7 +6941,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="497" name="__module.model.down_blocks.0.attentions.0.proj_out/aten::_convolution/Add_329" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -6629,7 +6958,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/resnets.1/conv2/Conv_output_0">
+				<port id="2" precision="FP32" names="939,hidden_states.29">
 					<dim>1</dim>
 					<dim>320</dim>
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@@ -6637,7 +6966,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="487" name="/down_blocks.0/resnets.1/Add_1" type="Add" version="opset1">
+		<layer id="498" name="__module.model.down_blocks.0.attentions.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6654,7 +6983,7 @@
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="940,input.41">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -6662,15 +6991,15 @@
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 		</layer>
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+		<layer id="499" name="__module.model.down_blocks.0.resnets.1.norm1/aten::group_norm/Constant_332" type="Const" version="opset1">
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 			<output>
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 		</layer>
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+		<layer id="500" name="__module.model.down_blocks.0.resnets.1.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
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@@ -6679,48 +7008,48 @@
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
-				<port id="1" precision="I64">
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 			</input>
 			<output>
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 					<dim>32</dim>
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+		<layer id="501" name="__module.model.down_blocks.0.resnets.1.norm1/aten::group_norm/Constant_333" type="Const" version="opset1">
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 			<output>
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 		</layer>
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-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="502" name="__module.model.down_blocks.0.resnets.1.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>40960</dim>
 				</port>
-				<port id="1" precision="I64">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/norm/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>40960</dim>
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 		</layer>
-		<layer id="492" name="/down_blocks.0/attentions.1/norm/Shape" type="ShapeOf" version="opset3">
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+		<layer id="503" name="__module.model.down_blocks.0.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6730,12 +7059,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/down_blocks.0/attentions.1/norm/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>4</dim>
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 		</layer>
-		<layer id="493" name="/down_blocks.0/attentions.1/norm/Reshape_1" type="Reshape" version="opset1">
+		<layer id="504" name="__module.model.down_blocks.0.resnets.1.norm1/aten::group_norm/Reshape_334" type="Reshape" version="opset1">
 			<data special_zero="true" />
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@@ -6743,12 +7072,12 @@
 					<dim>32</dim>
 					<dim>40960</dim>
 				</port>
-				<port id="1" precision="I64">
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 			</input>
 			<output>
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+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -6756,10 +7085,32 @@
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+		<layer id="505" name="Constant_210885_compressed" type="Const" version="opset1">
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 			<output>
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+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="506" name="Constant_210885" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16">
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+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			<output>
+				<port id="1" precision="FP32">
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 					<dim>320</dim>
 					<dim>1</dim>
@@ -6767,7 +7118,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="495" name="/down_blocks.0/attentions.1/norm/Mul" type="Multiply" version="opset1">
+		<layer id="507" name="__module.model.down_blocks.0.resnets.1.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -6784,7 +7135,7 @@
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 			</input>
 			<output>
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+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -6792,10 +7143,32 @@
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 320, 1, 1" offset="9336132" size="1280" />
+		<layer id="508" name="Constant_210886_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="13892448" size="640" />
 			<output>
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+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="509" name="Constant_210886" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16">
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+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			<output>
+				<port id="1" precision="FP32">
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 					<dim>320</dim>
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@@ -6803,7 +7176,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="510" name="__module.model.down_blocks.0.resnets.1.norm1/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -6820,7 +7193,7 @@
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@@ -6861,13 +7209,9 @@
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@@ -6977,7 +7310,7 @@
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@@ -8161,58 +8505,47 @@
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@@ -8535,797 +8843,701 @@
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 		</layer>
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@@ -9333,490 +9545,494 @@
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@@ -14472,175 +14364,182 @@
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@@ -14648,565 +14547,626 @@
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 		</layer>
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 		</layer>
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+		<layer id="1036" name="Constant_210915" type="Convert" version="opset1">
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-		<layer id="1096" name="/down_blocks.1/attentions.0/proj_out/Conv/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
+		<layer id="1037" name="__module.model.down_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::baddbmm/Multiply" type="Multiply" version="opset1">
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@@ -15214,1967 +15174,1761 @@
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 		</layer>
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+		<layer id="1038" name="__module.model.down_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
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+		</layer>
+		<layer id="1039" name="__module.model.down_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
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@@ -17185,630 +16939,540 @@
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@@ -17967,1285 +17633,1222 @@
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@@ -19256,506 +18859,633 @@
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@@ -19786,42 +19519,64 @@
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 					<dim>640</dim>
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@@ -19829,7 +19584,7 @@
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+		<layer id="1325" name="__module.model.down_blocks.1.attentions.1.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
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@@ -19854,10 +19609,32 @@
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+					<dim>640</dim>
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+					<dim>1</dim>
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+		<layer id="1327" name="__module.model.down_blocks.1.attentions.1.proj_in/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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 					<dim>640</dim>
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@@ -19865,7 +19642,7 @@
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 			</output>
 		</layer>
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+		<layer id="1328" name="__module.model.down_blocks.1.attentions.1.proj_in/aten::_convolution/Add_971" type="Add" version="opset1">
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 					<dim>640</dim>
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@@ -19890,8 +19667,7 @@
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 		</layer>
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@@ -19899,1189 +19675,1156 @@
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+		<layer id="1330" name="Constant_173818" type="Const" version="opset1">
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+		<layer id="1413" name="Constant_210937" type="Convert" version="opset1">
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-		<layer id="1503" name="/down_blocks.2/resnets.0/conv2/Conv/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
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@@ -21089,2037 +20832,1786 @@
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 		</layer>
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@@ -23128,1675 +22620,1507 @@
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 		</layer>
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@@ -24810,10 +24134,10 @@
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 					<dim>1</dim>
@@ -24821,16 +24145,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1771" name="/down_blocks.2/attentions.0/proj_out/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1637" name="__module.model.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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-					<dim>1280</dim>
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-				<port id="1" precision="FP32">
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 					<dim>1280</dim>
 					<dim>1</dim>
@@ -24838,15 +24159,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/proj_out/Conv_output_0">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
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+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="1772" name="/down_blocks.2/attentions.0/Add" type="Add" version="opset1">
+		<layer id="1638" name="__module.model.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Add_1251" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -24858,12 +24179,12 @@
 				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
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-					<dim>16</dim>
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+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/Add_output_0">
+				<port id="2" precision="FP32" names="1520,input_tensor.3">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -24871,254 +24192,254 @@
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="3" offset="563208" size="24" />
+		<layer id="1639" name="__module.model.down_blocks.2.resnets.0.norm1/aten::group_norm/Constant_1217" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/resnets.1/norm1/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="1640" name="__module.model.down_blocks.2.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
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 					<dim>16</dim>
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-				<port id="1" precision="I64">
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 			</input>
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+				<port id="2" precision="FP32">
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 					<dim>32</dim>
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 		</layer>
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+		<layer id="1641" name="__module.model.down_blocks.2.resnets.0.norm1/aten::group_norm/Constant_1218" type="Const" version="opset1">
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 				</port>
 			</output>
 		</layer>
-		<layer id="1776" name="MVN_5628" type="MVN" version="opset6">
+		<layer id="1642" name="__module.model.down_blocks.2.resnets.0.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
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 		</layer>
-		<layer id="1777" name="/down_blocks.2/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1643" name="__module.model.down_blocks.2.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
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 					<dim>16</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/down_blocks.2/resnets.1/norm1/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1778" name="/down_blocks.2/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1644" name="__module.model.down_blocks.2.resnets.0.norm1/aten::group_norm/Reshape_1219" type="Reshape" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32">
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 			</output>
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+		<layer id="1645" name="Constant_210948_compressed" type="Const" version="opset1">
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+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1646" name="Constant_210948" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16">
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+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			<output>
+				<port id="1" precision="FP32">
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+					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="1647" name="__module.model.down_blocks.2.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
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 					<dim>16</dim>
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 				<port id="1" precision="FP32">
 					<dim>1</dim>
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 					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/norm1/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
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 					<dim>16</dim>
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+		<layer id="1648" name="Constant_210949_compressed" type="Const" version="opset1">
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 			<output>
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+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1649" name="Constant_210949" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16">
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+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			<output>
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+					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="1650" name="__module.model.down_blocks.2.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
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 				<port id="1" precision="FP32">
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 					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/norm1/Add_output_0">
+				<port id="2" precision="FP32" names="1508,input.139">
 					<dim>1</dim>
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 					<dim>16</dim>
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 			</output>
 		</layer>
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+		<layer id="1651" name="__module.model.conv_act/aten::silu/Swish_1221" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
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 					<dim>16</dim>
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/down_blocks.2/resnets.1/nonlinearity/Mul_output_0">
+				<port id="1" precision="FP32" names="1509,hidden_states.125">
 					<dim>1</dim>
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 					<dim>16</dim>
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 		</layer>
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+		<layer id="1652" name="self.model.down_blocks.2.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 640, 3, 3" offset="100618912" size="14745600" />
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+					<dim>640</dim>
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+					<dim>3</dim>
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-		</layer>
-		<layer id="1790" name="down_blocks.2.resnets.1.conv1.weight472942721/quantized/to_f32" type="Convert" version="opset1">
+		<layer id="1653" name="self.model.down_blocks.2.resnets.0.conv1.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 			<input>
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+				<port id="0" precision="FP16">
 					<dim>1280</dim>
+					<dim>640</dim>
 					<dim>3</dim>
 					<dim>3</dim>
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@@ -25126,60 +24447,24 @@
 			<output>
 				<port id="1" precision="FP32">
 					<dim>1280</dim>
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-			<output>
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-					<dim>1280</dim>
+					<dim>640</dim>
 					<dim>3</dim>
 					<dim>3</dim>
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 			</output>
 		</layer>
-		<layer id="1793" name="/down_blocks.2/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="1654" name="__module.model.down_blocks.2.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
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 					<dim>16</dim>
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 				<port id="1" precision="FP32">
 					<dim>1280</dim>
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+					<dim>640</dim>
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 					<dim>3</dim>
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@@ -25193,10 +24478,10 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1280, 1, 1" offset="124205492" size="5120" />
+		<layer id="1655" name="__module.model.down_blocks.2.resnets.0.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="115364512" size="2560" />
 			<output>
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 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -25204,7 +24489,29 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="1656" name="__module.model.down_blocks.2.resnets.0.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16">
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+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1657" name="__module.model.down_blocks.2.resnets.0.conv1/aten::_convolution/Add_1225" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25221,7 +24528,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/conv1/Conv_output_0">
+				<port id="2" precision="FP32" names="1510,hidden_states.127">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -25229,19 +24536,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1796" name="down_blocks.2.resnets.1.time_emb_proj.weight473342723/quantized5079873929" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280" offset="124210612" size="1638400" />
+		<layer id="1658" name="self.model.down_blocks.2.resnets.0.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="115367072" size="3276800" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP16" names="565,self.model.down_blocks.2.resnets.0.time_emb_proj.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
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 			</output>
 		</layer>
-		<layer id="1797" name="down_blocks.2.resnets.1.time_emb_proj.weight473342723/quantized/to_f32" type="Convert" version="opset1">
+		<layer id="1659" name="self.model.down_blocks.2.resnets.0.time_emb_proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
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@@ -25253,128 +24563,194 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1798" name="/down_blocks.2/resnets.1/time_emb_proj/Gemm/WithoutBiases/fq_weights_1/scale5080673491" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1" offset="125849012" size="5120" />
-			<output>
+		<layer id="1660" name="__module.model.down_blocks.2.resnets.0.time_emb_proj/aten::linear/MatMul_1226" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
 				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
 					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
 					<dim>1</dim>
+					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1799" name="/down_blocks.2/resnets.1/time_emb_proj/Gemm/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1280</dim>
+		<layer id="1661" name="Constant_210950_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280" offset="118643872" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1280</dim>
+			</output>
+		</layer>
+		<layer id="1662" name="Constant_210950" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1</dim>
+					<dim>1280</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>1280</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1800" name="/down_blocks.2/resnets.1/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
+		<layer id="1663" name="__module.model.down_blocks.2.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1280</dim>
+					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="1511">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1801" name="Constant_75024473578192" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280" offset="125854132" size="5120" />
+		<layer id="1664" name="__module.model.down_blocks.2.resnets.0/aten::slice/Unsqueeze_1227" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="1868900" size="4" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I32">
 					<dim>1</dim>
-					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1802" name="/down_blocks.2/resnets.1/time_emb_proj/Gemm" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1665" name="__module.model.down_blocks.2.resnets.0/aten::slice/Unsqueeze_1228" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1868904" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1666" name="__module.model.down_blocks.2.resnets.0/aten::slice/Unsqueeze_1229" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="1868896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1667" name="__module.model.down_blocks.2.resnets.0/aten::slice/Slice" type="StridedSlice" version="opset1">
+			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I32">
 					<dim>1</dim>
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/time_emb_proj/Gemm_output_0">
+				<port id="4" precision="FP32" names="1512">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="563232" size="8" />
+		<layer id="1668" name="Constant_190983" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="1869264" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/resnets.1/Constant_output_0">
-					<dim>1</dim>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1669" name="Constant_190986" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="1869240" size="16" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1804" name="/down_blocks.2/resnets.1/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1670" name="Constant_190989" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="1869256" size="8" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1671" name="__module.model.down_blocks.2.resnets.0/aten::slice/Slice_1235" type="StridedSlice" version="opset1">
+			<data begin_mask="1, 0" end_mask="1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="I32">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="3" precision="I32">
+					<dim>2</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/Unsqueeze_output_0">
+				<port id="4" precision="FP32" names="1513">
 					<dim>1</dim>
 					<dim>1280</dim>
-					<dim>1</dim>
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 		</layer>
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-			<data element_type="i64" shape="1" offset="3550784" size="8" />
+		<layer id="1672" name="__module.model.down_blocks.2.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I32" />
+			</input>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/resnets.1/Constant_1_output_0">
+				<port id="2" precision="FP32" names="1514">
+					<dim>1</dim>
+					<dim>1280</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1806" name="/down_blocks.2/resnets.1/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1673" name="__module.model.down_blocks.2.resnets.0/aten::unsqueeze/Unsqueeze_1236" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="I32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/Unsqueeze_1_output_0">
+				<port id="2" precision="FP32" names="1515,temb.9">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -25382,7 +24758,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1807" name="/down_blocks.2/resnets.1/Add" type="Add" version="opset1">
+		<layer id="1674" name="__module.model.down_blocks.2.resnets.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25399,7 +24775,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/Add_output_0">
+				<port id="2" precision="FP32" names="1516,input.143">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -25407,15 +24783,15 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="3" offset="563208" size="24" />
+		<layer id="1675" name="__module.model.down_blocks.2.resnets.0.norm2/aten::group_norm/Constant_1239" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23744" size="12" />
 			<output>
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+				<port id="0" precision="I32">
 					<dim>3</dim>
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 			</output>
 		</layer>
-		<layer id="1809" name="/down_blocks.2/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+		<layer id="1676" name="__module.model.down_blocks.2.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25424,27 +24800,27 @@
 					<dim>16</dim>
 					<dim>16</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/norm2/Reshape_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>10240</dim>
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 			</output>
 		</layer>
-		<layer id="1810" name="Constant_5800474472831" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="563232" size="8" />
+		<layer id="1677" name="__module.model.down_blocks.2.resnets.0.norm2/aten::group_norm/Constant_1240" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23756" size="4" />
 			<output>
-				<port id="0" precision="I64">
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 				</port>
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 		</layer>
-		<layer id="1811" name="MVN_5801" type="MVN" version="opset6">
+		<layer id="1678" name="__module.model.down_blocks.2.resnets.0.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25452,20 +24828,20 @@
 					<dim>32</dim>
 					<dim>10240</dim>
 				</port>
-				<port id="1" precision="I64">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/norm2/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1812" name="/down_blocks.2/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1679" name="__module.model.down_blocks.2.resnets.0.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -25475,12 +24851,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/down_blocks.2/resnets.1/norm2/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1813" name="/down_blocks.2/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1680" name="__module.model.down_blocks.2.resnets.0.norm2/aten::group_norm/Reshape_1241" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25488,12 +24864,12 @@
 					<dim>32</dim>
 					<dim>10240</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/norm2/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -25501,10 +24877,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1814" name="Constant_75025474873614" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="125859252" size="5120" />
+		<layer id="1681" name="Constant_210951_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="118646432" size="2560" />
 			<output>
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 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -25512,7 +24888,29 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1815" name="/down_blocks.2/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+		<layer id="1682" name="Constant_210951" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="1683" name="__module.model.down_blocks.2.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25529,7 +24927,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/norm2/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -25537,10 +24935,10 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1280, 1, 1" offset="125864372" size="5120" />
+		<layer id="1684" name="Constant_210952_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="118648992" size="2560" />
 			<output>
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 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -25548,16 +24946,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1817" name="/down_blocks.2/resnets.1/norm2/Add" type="Add" version="opset1">
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+		<layer id="1685" name="Constant_210952" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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@@ -25565,15 +24960,16 @@
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 					<dim>1280</dim>
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 		</layer>
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+		<layer id="1686" name="__module.model.down_blocks.2.resnets.0.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
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@@ -25581,9 +24977,15 @@
 					<dim>16</dim>
 					<dim>16</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
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+					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/down_blocks.2/resnets.1/nonlinearity_1/Mul_output_0">
+				<port id="2" precision="FP32" names="1517,input.145">
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 					<dim>1280</dim>
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@@ -25591,32 +24993,7 @@
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-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="1687" name="__module.model.conv_act/aten::silu/Swish_1243" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
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@@ -25624,13 +25001,9 @@
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 					<dim>16</dim>
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 			</input>
 			<output>
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@@ -25638,10 +25011,10 @@
 				</port>
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-			<data element_type="i8" shape="1280, 1280, 3, 3" offset="125869500" size="14745600" />
+		<layer id="1688" name="self.model.down_blocks.2.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280, 3, 3" offset="118651552" size="29491200" />
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 					<dim>1280</dim>
 					<dim>1280</dim>
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@@ -25649,10 +25022,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1825" name="down_blocks.2.resnets.1.conv2.weight475342731/quantized/to_f32" type="Convert" version="opset1">
+		<layer id="1689" name="self.model.down_blocks.2.resnets.0.conv2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 			<input>
-				<port id="0" precision="I8">
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 					<dim>1280</dim>
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@@ -25668,43 +25044,7 @@
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="FP32">
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-					<dim>3</dim>
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-		</layer>
-		<layer id="1828" name="/down_blocks.2/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="1690" name="__module.model.down_blocks.2.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25729,10 +25069,10 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1280, 1, 1" offset="140620220" size="5120" />
+		<layer id="1691" name="__module.model.down_blocks.2.resnets.0.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="148142752" size="2560" />
 			<output>
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 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -25740,7 +25080,29 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1830" name="/down_blocks.2/resnets.1/conv2/Conv" type="Add" version="opset1">
+		<layer id="1692" name="__module.model.down_blocks.2.resnets.0.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1693" name="__module.model.down_blocks.2.resnets.0.conv2/aten::_convolution/Add_1247" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25757,7 +25119,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/conv2/Conv_output_0">
+				<port id="2" precision="FP32" names="1519,hidden_states.131">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -25765,7 +25127,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1831" name="/down_blocks.2/resnets.1/Add_1" type="Add" version="opset1">
+		<layer id="1694" name="__module.model.down_blocks.2.resnets.0/aten::add/Add_1254" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25782,7 +25144,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/Add_1_output_0,/down_blocks.2/resnets.1/Div_output_0">
+				<port id="2" precision="FP32" names="1521,1522,hidden_states.133">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -25790,15 +25152,15 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="3" offset="563208" size="24" />
+		<layer id="1695" name="__module.model.down_blocks.2.attentions.0.norm/aten::group_norm/Constant_1263" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23744" size="12" />
 			<output>
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 					<dim>3</dim>
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 			</output>
 		</layer>
-		<layer id="1833" name="/down_blocks.2/attentions.1/norm/Reshape" type="Reshape" version="opset1">
+		<layer id="1696" name="__module.model.down_blocks.2.attentions.0.norm/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
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 				<port id="0" precision="FP32">
@@ -25807,27 +25169,27 @@
 					<dim>16</dim>
 					<dim>16</dim>
 				</port>
-				<port id="1" precision="I64">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/norm/Reshape_output_0">
+				<port id="2" precision="FP32">
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 					<dim>32</dim>
 					<dim>10240</dim>
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-		<layer id="1834" name="Constant_5965476073803" type="Const" version="opset1">
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+		<layer id="1697" name="__module.model.down_blocks.2.attentions.0.norm/aten::group_norm/Constant_1264" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23756" size="4" />
 			<output>
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 		</layer>
-		<layer id="1835" name="MVN_5966" type="MVN" version="opset6">
+		<layer id="1698" name="__module.model.down_blocks.2.attentions.0.norm/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
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@@ -25835,20 +25197,20 @@
 					<dim>32</dim>
 					<dim>10240</dim>
 				</port>
-				<port id="1" precision="I64">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/norm/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
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 					<dim>32</dim>
 					<dim>10240</dim>
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 		</layer>
-		<layer id="1836" name="/down_blocks.2/attentions.1/norm/Shape" type="ShapeOf" version="opset3">
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+		<layer id="1699" name="__module.model.down_blocks.2.attentions.0/aten::size/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -25858,12 +25220,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/down_blocks.2/attentions.1/norm/Shape_output_0">
+				<port id="1" precision="I32">
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 		</layer>
-		<layer id="1837" name="/down_blocks.2/attentions.1/norm/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1700" name="__module.model.down_blocks.2.attentions.0.norm/aten::group_norm/Reshape_1265" type="Reshape" version="opset1">
 			<data special_zero="true" />
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@@ -25871,12 +25233,12 @@
 					<dim>32</dim>
 					<dim>10240</dim>
 				</port>
-				<port id="1" precision="I64">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/norm/Reshape_1_output_0">
+				<port id="2" precision="FP32">
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@@ -25884,10 +25246,32 @@
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+		<layer id="1701" name="Constant_210953_compressed" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="FP32">
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+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="1702" name="Constant_210953" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16">
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+					<dim>1280</dim>
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+					<dim>1</dim>
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+			<output>
+				<port id="1" precision="FP32">
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 					<dim>1280</dim>
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@@ -25895,7 +25279,7 @@
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 			</output>
 		</layer>
-		<layer id="1839" name="/down_blocks.2/attentions.1/norm/Mul" type="Multiply" version="opset1">
+		<layer id="1703" name="__module.model.down_blocks.2.attentions.0.norm/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -25912,7 +25296,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/norm/Mul_output_0">
+				<port id="2" precision="FP32">
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@@ -25920,10 +25304,32 @@
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+		<layer id="1704" name="Constant_210954_compressed" type="Const" version="opset1">
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 			<output>
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+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+		</layer>
+		<layer id="1705" name="Constant_210954" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<output>
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@@ -25931,7 +25337,7 @@
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 			</output>
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 				<port id="0" precision="FP32">
@@ -25948,7 +25354,7 @@
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 			</input>
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 					<dim>1</dim>
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@@ -25956,32 +25362,41 @@
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+		<layer id="1707" name="self.model.down_blocks.2.attentions.0.proj_in.weight_compressed" type="Const" version="opset1">
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 			</output>
 		</layer>
-		<layer id="1845" name="167511675571832" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="140635584" size="4" />
+		<layer id="1708" name="self.model.down_blocks.2.attentions.0.proj_in.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			<output>
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+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
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-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="1709" name="__module.model.down_blocks.2.attentions.0.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
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@@ -25989,13 +25404,15 @@
 					<dim>16</dim>
 					<dim>16</dim>
 				</port>
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-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
+				<port id="1" precision="FP32">
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+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</input>
 			<output>
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 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -26003,22 +25420,25 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i8" shape="1280, 1280, 1, 1" offset="140635588" size="1638400" />
+		<layer id="1710" name="__module.model.down_blocks.2.attentions.0.proj_in/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="151427232" size="2560" />
 			<output>
-				<port id="0" precision="I8">
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+				<port id="0" precision="FP16">
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 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1848" name="down_blocks.2.attentions.1.proj_in.weight476842737/quantized/to_f32" type="Convert" version="opset1">
+		<layer id="1711" name="__module.model.down_blocks.2.attentions.0.proj_in/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="I8">
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+				<port id="0" precision="FP16">
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 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -26026,51 +25446,39 @@
 			</input>
 			<output>
 				<port id="1" precision="FP32">
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 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="1850" name="/down_blocks.2/attentions.1/proj_in/Conv/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
+		<layer id="1712" name="__module.model.down_blocks.2.attentions.0.proj_in/aten::_convolution/Add_1270" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
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-					<dim>1280</dim>
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 					<dim>1</dim>
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+					<dim>16</dim>
 				</port>
 				<port id="1" precision="FP32">
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 					<dim>1</dim>
+					<dim>1280</dim>
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 					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>1280</dim>
-					<dim>1280</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1529,hidden_states.137">
 					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
 			</output>
 		</layer>
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-			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+		<layer id="1713" name="__module.model.down_blocks.2.attentions.0/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -26078,97 +25486,87 @@
 					<dim>16</dim>
 					<dim>16</dim>
 				</port>
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-					<dim>1280</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="1531">
 					<dim>1</dim>
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 					<dim>16</dim>
 					<dim>16</dim>
+					<dim>1280</dim>
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1280, 1, 1" offset="142279108" size="5120" />
+		<layer id="1714" name="Constant_173883" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="1868900" size="4" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1280</dim>
-					<dim>1</dim>
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1853" name="/down_blocks.2/attentions.1/proj_in/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1715" name="__module.model.down_blocks.2.attentions.0/aten::size/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="1868900" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="1716" name="__module.model.down_blocks.2.attentions.0/aten::size/Gather" type="Gather" version="opset8">
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-					<dim>1280</dim>
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-					<dim>16</dim>
+				<port id="0" precision="I32">
+					<dim>4</dim>
 				</port>
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-					<dim>1280</dim>
-					<dim>1</dim>
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
+				<port id="2" precision="I32" />
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/proj_in/Conv_output_0">
+				<port id="3" precision="I32" names="1523">
 					<dim>1</dim>
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 		</layer>
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+		<layer id="1717" name="__module.model.down_blocks.2.attentions.0/prim::ListConstruct_1274/Reshape_0" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="I32">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="1718" name="__module.model.down_blocks.2.attentions.0/prim::ListConstruct_1274/Reshape_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="151429796" size="4" />
+			<output>
+				<port id="0" precision="I32">
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 			</output>
 		</layer>
-		<layer id="1855" name="/down_blocks.2/attentions.1/Transpose" type="Transpose" version="opset1">
+		<layer id="1719" name="__module.model.down_blocks.2.attentions.0/prim::ListConstruct_1274/Concat" type="Concat" version="opset1">
+			<data axis="0" />
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 					<dim>1</dim>
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-					<dim>16</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I32">
+					<dim>1</dim>
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-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/Transpose_output_0">
+				<port id="2" precision="I32">
 					<dim>1</dim>
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-			<data element_type="i64" shape="3" offset="76174472" size="24" />
+			</input>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/Constant_output_0">
+				<port id="3" precision="I32" names="1534">
 					<dim>3</dim>
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 			</output>
 		</layer>
-		<layer id="1857" name="/down_blocks.2/attentions.1/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="1720" name="__module.model.down_blocks.2.attentions.0/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -26176,27 +25574,27 @@
 					<dim>16</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
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 			</input>
 			<output>
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 					<dim>256</dim>
 					<dim>1280</dim>
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 		</layer>
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+			<data element_type="i32" shape="1" offset="9005940" size="4" />
 			<output>
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 				</port>
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 		</layer>
-		<layer id="1859" name="/down_blocks.2/attentions.1/transformer_blocks.0/norm1/Div" type="MVN" version="opset6">
+		<layer id="1722" name="__module.model.down_blocks.2.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -26204,61 +25602,49 @@
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
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 					<dim>256</dim>
 					<dim>1280</dim>
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+		<layer id="1723" name="Constant_210955_compressed" type="Const" version="opset1">
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 					<dim>1</dim>
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="1724" name="Constant_210955" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 					<dim>1</dim>
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 			<data auto_broadcast="numpy" />
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@@ -26273,103 +25659,81 @@
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 			<output>
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+		<layer id="1726" name="Constant_210956_compressed" type="Const" version="opset1">
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 		</layer>
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@@ -26381,282 +25745,217 @@
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 					<dim>1280</dim>
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@@ -26664,15 +25963,7 @@
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@@ -26680,12 +25971,12 @@
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@@ -26693,204 +25984,152 @@
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@@ -26904,173 +26143,203 @@
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 		</layer>
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 					<dim>256</dim>
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@@ -27078,16 +26347,7 @@
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@@ -27095,394 +26355,377 @@
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 		</layer>
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+		<layer id="1781" name="Constant_101938" type="Const" version="opset1">
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 					<dim>160</dim>
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@@ -28162,15 +27267,7 @@
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@@ -28178,12 +27275,12 @@
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 					<dim>160</dim>
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@@ -28191,125 +27288,94 @@
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 		</layer>
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+		<layer id="1848" name="Constant_101955" type="Const" version="opset1">
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 			<output>
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 					<dim>1280</dim>
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 			</output>
 		</layer>
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 			<data destination_type="f32" />
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 			<input>
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 					<dim>1280</dim>
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@@ -28321,78 +27387,80 @@
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 				<port id="0" precision="FP32">
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 			<output>
 				<port id="2" precision="FP32">
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+		<layer id="1856" name="Constant_210959" type="Convert" version="opset1">
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@@ -28820,1701 +27833,1887 @@
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+		<layer id="2006" name="__module.model.down_blocks.2.attentions.0.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
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+		<layer id="2007" name="__module.model.down_blocks.2.attentions.0.proj_out/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
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+		</layer>
+		<layer id="2008" name="__module.model.down_blocks.2.attentions.0.proj_out/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
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@@ -30522,14 +29721,14 @@
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 		</layer>
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@@ -30539,137 +29738,159 @@
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 		</layer>
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+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
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 			</output>
 		</layer>
-		<layer id="2172" name="/down_blocks.3/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2015" name="__module.model.down_blocks.2.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
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-					<dim>8</dim>
+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/down_blocks.3/resnets.1/norm1/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2173" name="/down_blocks.3/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2016" name="__module.model.down_blocks.2.resnets.1.norm1/aten::group_norm/Reshape_1514" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/norm1/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
-					<dim>8</dim>
-					<dim>8</dim>
+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2174" name="Constant_75046496579635" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="221490740" size="5120" />
+		<layer id="2017" name="Constant_210969_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="217667280" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2018" name="Constant_210969" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -30677,14 +29898,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2175" name="/down_blocks.3/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+		<layer id="2019" name="__module.model.down_blocks.2.resnets.1.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
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-					<dim>8</dim>
+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
@@ -30694,18 +29915,18 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/norm1/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
-					<dim>8</dim>
-					<dim>8</dim>
+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2176" name="Constant_75047496772501" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="221495860" size="5120" />
+		<layer id="2020" name="Constant_210970_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="217669840" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -30713,16 +29934,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2177" name="/down_blocks.3/resnets.1/norm1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2021" name="Constant_210970" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
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-					<dim>1280</dim>
-					<dim>8</dim>
-					<dim>8</dim>
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-				<port id="1" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -30730,83 +29948,61 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/norm1/Add_output_0">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
-					<dim>8</dim>
-					<dim>8</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2178" name="/down_blocks.3/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="2022" name="__module.model.down_blocks.2.resnets.1.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
-					<dim>8</dim>
-					<dim>8</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/down_blocks.3/resnets.1/nonlinearity/Mul_output_0">
+				<port id="2" precision="FP32" names="1697,input.171">
 					<dim>1</dim>
 					<dim>1280</dim>
-					<dim>8</dim>
-					<dim>8</dim>
+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2179" name="196381964279542" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="221500980" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2180" name="196391964375054" type="Const" version="opset1">
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-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="2181" name="196401964472318" type="Const" version="opset1">
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-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="2182" name="196411964577337" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="221500984" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2183" name="/down_blocks.3/resnets.1/conv1/Conv/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2023" name="__module.model.conv_act/aten::silu/Swish_1516" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
-					<dim>8</dim>
-					<dim>8</dim>
+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
+				<port id="1" precision="FP32" names="1698,hidden_states.155">
 					<dim>1</dim>
 					<dim>1280</dim>
-					<dim>8</dim>
-					<dim>8</dim>
+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2184" name="down_blocks.3.resnets.1.conv1.weight497042827/quantized4677872999" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 3, 3" offset="221500988" size="14745600" />
+		<layer id="2024" name="self.model.down_blocks.2.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280, 3, 3" offset="217672400" size="29491200" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP16" names="529,self.model.down_blocks.2.resnets.1.conv1.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -30814,10 +30010,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2185" name="down_blocks.3.resnets.1.conv1.weight497042827/quantized/to_f32" type="Convert" version="opset1">
+		<layer id="2025" name="self.model.down_blocks.2.resnets.1.conv1.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -30833,50 +30032,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2186" name="/down_blocks.3/resnets.1/conv1/Conv/WithoutBiases/fq_weights_1/scale4678674646" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32">
-					<dim>1280</dim>
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-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2187" name="/down_blocks.3/resnets.1/conv1/Conv/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1280</dim>
-					<dim>1280</dim>
-					<dim>3</dim>
-					<dim>3</dim>
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-				<port id="1" precision="FP32">
-					<dim>1280</dim>
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-					<dim>1</dim>
-					<dim>1</dim>
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-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>1280</dim>
-					<dim>1280</dim>
-					<dim>3</dim>
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2188" name="/down_blocks.3/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="2026" name="__module.model.down_blocks.2.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
-					<dim>8</dim>
-					<dim>8</dim>
+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1280</dim>
@@ -30889,15 +30052,15 @@
 				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
-					<dim>8</dim>
-					<dim>8</dim>
+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2189" name="Reshape_7058497273965" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="236251708" size="5120" />
+		<layer id="2027" name="__module.model.down_blocks.2.resnets.1.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="247163600" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -30905,14 +30068,36 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2190" name="/down_blocks.3/resnets.1/conv1/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2028" name="__module.model.down_blocks.2.resnets.1.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2029" name="__module.model.down_blocks.2.resnets.1.conv1/aten::_convolution/Add_1520" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
-					<dim>8</dim>
-					<dim>8</dim>
+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
@@ -30922,27 +30107,30 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/conv1/Conv_output_0">
+				<port id="2" precision="FP32" names="1699,hidden_states.157">
 					<dim>1</dim>
 					<dim>1280</dim>
-					<dim>8</dim>
-					<dim>8</dim>
+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2191" name="down_blocks.3.resnets.1.time_emb_proj.weight497442829/quantized5031870959" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280" offset="236256828" size="1638400" />
+		<layer id="2030" name="self.model.down_blocks.2.resnets.1.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="247166160" size="3276800" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP16" names="527,self.model.down_blocks.2.resnets.1.time_emb_proj.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2192" name="down_blocks.3.resnets.1.time_emb_proj.weight497442829/quantized/to_f32" type="Convert" version="opset1">
+		<layer id="2031" name="self.model.down_blocks.2.resnets.1.time_emb_proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
@@ -30954,128 +30142,194 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2193" name="/down_blocks.3/resnets.1/time_emb_proj/Gemm/WithoutBiases/fq_weights_1/scale5032679671" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1" offset="237895228" size="5120" />
-			<output>
+		<layer id="2032" name="__module.model.down_blocks.2.resnets.1.time_emb_proj/aten::linear/MatMul_1521" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
 				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
 					<dim>1</dim>
+					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2194" name="/down_blocks.3/resnets.1/time_emb_proj/Gemm/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1280</dim>
+		<layer id="2033" name="Constant_210971_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280" offset="250442960" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1280</dim>
+			</output>
+		</layer>
+		<layer id="2034" name="Constant_210971" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1</dim>
+					<dim>1280</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>1280</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2195" name="/down_blocks.3/resnets.1/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
+		<layer id="2035" name="__module.model.down_blocks.2.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1280</dim>
+					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 			</input>
 			<output>
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+		<layer id="2036" name="__module.model.down_blocks.2.resnets.1/aten::slice/Unsqueeze_1522" type="Const" version="opset1">
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="2037" name="__module.model.down_blocks.2.resnets.1/aten::slice/Unsqueeze_1523" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1868904" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2038" name="__module.model.down_blocks.2.resnets.1/aten::slice/Unsqueeze_1524" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="1868896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2039" name="__module.model.down_blocks.2.resnets.1/aten::slice/Slice" type="StridedSlice" version="opset1">
+			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
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 			<output>
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+				<port id="4" precision="FP32" names="1701">
 					<dim>1</dim>
 					<dim>1280</dim>
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 		</layer>
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-			<data element_type="i64" shape="1" offset="563232" size="8" />
+		<layer id="2040" name="Constant_190996" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="1869264" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.3/resnets.1/Constant_output_0">
-					<dim>1</dim>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2041" name="Constant_190999" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="1869240" size="16" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2042" name="Constant_191002" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="1869256" size="8" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2199" name="/down_blocks.3/resnets.1/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="2043" name="__module.model.down_blocks.2.resnets.1/aten::slice/Slice_1530" type="StridedSlice" version="opset1">
+			<data begin_mask="1, 0" end_mask="1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
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+				<port id="1" precision="I32">
+					<dim>2</dim>
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+				<port id="2" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="3" precision="I32">
+					<dim>2</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/Unsqueeze_output_0">
+				<port id="4" precision="FP32" names="1702">
 					<dim>1</dim>
 					<dim>1280</dim>
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 		</layer>
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-			<data element_type="i64" shape="1" offset="3550784" size="8" />
+		<layer id="2044" name="__module.model.down_blocks.2.resnets.1/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
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+				<port id="1" precision="I32" />
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 			<output>
-				<port id="0" precision="I64" names="/down_blocks.3/resnets.1/Constant_1_output_0">
+				<port id="2" precision="FP32" names="1703">
+					<dim>1</dim>
+					<dim>1280</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2201" name="/down_blocks.3/resnets.1/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="2045" name="__module.model.down_blocks.2.resnets.1/aten::unsqueeze/Unsqueeze_1531" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
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-				<port id="1" precision="I64">
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+				<port id="1" precision="I32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/Unsqueeze_1_output_0">
+				<port id="2" precision="FP32" names="1704,temb.11">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -31083,14 +30337,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2202" name="/down_blocks.3/resnets.1/Add" type="Add" version="opset1">
+		<layer id="2046" name="__module.model.down_blocks.2.resnets.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
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+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
@@ -31100,112 +30354,134 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/Add_output_0">
+				<port id="2" precision="FP32" names="1705,input.175">
 					<dim>1</dim>
 					<dim>1280</dim>
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-					<dim>8</dim>
+					<dim>16</dim>
+					<dim>16</dim>
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="3" offset="563208" size="24" />
+		<layer id="2047" name="__module.model.down_blocks.2.resnets.1.norm2/aten::group_norm/Constant_1534" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23744" size="12" />
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.3/resnets.1/norm2/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2204" name="/down_blocks.3/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+		<layer id="2048" name="__module.model.down_blocks.2.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
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-					<dim>8</dim>
+					<dim>16</dim>
+					<dim>16</dim>
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-				<port id="1" precision="I64">
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 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
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 		</layer>
-		<layer id="2205" name="Constant_7106498575468" type="Const" version="opset1">
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+		<layer id="2049" name="__module.model.down_blocks.2.resnets.1.norm2/aten::group_norm/Constant_1535" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23756" size="4" />
 			<output>
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+				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="2206" name="MVN_7107" type="MVN" version="opset6">
+		<layer id="2050" name="__module.model.down_blocks.2.resnets.1.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
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+					<dim>10240</dim>
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-				<port id="1" precision="I64">
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 			</input>
 			<output>
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+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
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+					<dim>10240</dim>
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 		</layer>
-		<layer id="2207" name="/down_blocks.3/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2051" name="__module.model.down_blocks.2.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
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+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/down_blocks.3/resnets.1/norm2/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2208" name="/down_blocks.3/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2052" name="__module.model.down_blocks.2.resnets.1.norm2/aten::group_norm/Reshape_1536" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
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+					<dim>10240</dim>
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 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/norm2/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
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+					<dim>16</dim>
+					<dim>16</dim>
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 		</layer>
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+		<layer id="2053" name="Constant_210972_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="250445520" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="2054" name="Constant_210972" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16">
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+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			<output>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -31213,14 +30489,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2210" name="/down_blocks.3/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+		<layer id="2055" name="__module.model.down_blocks.2.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
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+					<dim>16</dim>
+					<dim>16</dim>
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 				<port id="1" precision="FP32">
 					<dim>1</dim>
@@ -31230,18 +30506,18 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/norm2/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
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 		</layer>
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+		<layer id="2056" name="Constant_210973_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="250448080" size="2560" />
 			<output>
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 					<dim>1280</dim>
 					<dim>1</dim>
@@ -31249,16 +30525,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2212" name="/down_blocks.3/resnets.1/norm2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2057" name="Constant_210973" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 			<input>
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-					<dim>8</dim>
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-				<port id="1" precision="FP32">
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 					<dim>1280</dim>
 					<dim>1</dim>
@@ -31266,83 +30539,61 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/norm2/Add_output_0">
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 					<dim>1280</dim>
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 			</output>
 		</layer>
-		<layer id="2213" name="/down_blocks.3/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="2058" name="__module.model.down_blocks.2.resnets.1.norm2/aten::group_norm/Add" type="Add" version="opset1">
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 				<port id="0" precision="FP32">
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 					<dim>1280</dim>
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+					<dim>16</dim>
+					<dim>16</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1706,input.177">
 					<dim>1</dim>
 					<dim>1280</dim>
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 		</layer>
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+		<layer id="2059" name="__module.model.conv_act/aten::silu/Swish_1538" type="Swish" version="opset4">
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 		</layer>
-		<layer id="2219" name="down_blocks.3.resnets.1.conv2.weight499442837/quantized5037875657" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 3, 3" offset="237915716" size="14745600" />
+		<layer id="2060" name="self.model.down_blocks.2.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280, 3, 3" offset="250450640" size="29491200" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP16" names="523,self.model.down_blocks.2.resnets.1.conv2.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -31350,10 +30601,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2220" name="down_blocks.3.resnets.1.conv2.weight499442837/quantized/to_f32" type="Convert" version="opset1">
+		<layer id="2061" name="self.model.down_blocks.2.resnets.1.conv2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -31369,71 +30623,57 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2221" name="/down_blocks.3/resnets.1/conv2/Conv/WithoutBiases/fq_weights_1/scale5038672462" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="252661316" size="5120" />
-			<output>
+		<layer id="2062" name="__module.model.down_blocks.2.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
 				<port id="0" precision="FP32">
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-					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
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-		</layer>
-		<layer id="2222" name="/down_blocks.3/resnets.1/conv2/Conv/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
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 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
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-					<dim>1</dim>
-					<dim>1</dim>
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 			</input>
 			<output>
 				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>1280</dim>
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-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2223" name="/down_blocks.3/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
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-				<port id="0" precision="FP32">
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-				<port id="1" precision="FP32">
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-					<dim>1280</dim>
-					<dim>3</dim>
-					<dim>3</dim>
-				</port>
-			</input>
+		<layer id="2063" name="__module.model.down_blocks.2.resnets.1.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="279941840" size="2560" />
 			<output>
-				<port id="2" precision="FP32">
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 					<dim>1</dim>
 					<dim>1280</dim>
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-					<dim>8</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2224" name="Reshape_7231499672141" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="252666436" size="5120" />
+		<layer id="2064" name="__module.model.down_blocks.2.resnets.1.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</input>
 			<output>
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+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -31441,14 +30681,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2225" name="/down_blocks.3/resnets.1/conv2/Conv" type="Add" version="opset1">
+		<layer id="2065" name="__module.model.down_blocks.2.resnets.1.conv2/aten::_convolution/Add_1542" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
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-					<dim>8</dim>
+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
@@ -31458,137 +30698,137 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/conv2/Conv_output_0">
+				<port id="2" precision="FP32" names="1708,hidden_states.161">
 					<dim>1</dim>
 					<dim>1280</dim>
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+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2226" name="/down_blocks.3/resnets.1/Add_1" type="Add" version="opset1">
+		<layer id="2066" name="__module.model.down_blocks.2.resnets.1/aten::add/Add_1545" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
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+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
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+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/Add_1_output_0,/down_blocks.3/resnets.1/Div_output_0">
+				<port id="2" precision="FP32" names="1709,1710,hidden_states.163">
 					<dim>1</dim>
 					<dim>1280</dim>
-					<dim>8</dim>
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+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="3" offset="563208" size="24" />
+		<layer id="2067" name="__module.model.down_blocks.2.attentions.1.norm/aten::group_norm/Constant_1554" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23744" size="12" />
 			<output>
-				<port id="0" precision="I64" names="/mid_block/resnets.0/norm1/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2228" name="/mid_block/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+		<layer id="2068" name="__module.model.down_blocks.2.attentions.1.norm/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
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-					<dim>8</dim>
+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.0/norm1/Reshape_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
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+					<dim>10240</dim>
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 		</layer>
-		<layer id="2229" name="Constant_7271500177388" type="Const" version="opset1">
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+		<layer id="2069" name="__module.model.down_blocks.2.attentions.1.norm/aten::group_norm/Constant_1555" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23756" size="4" />
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 		</layer>
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-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="2070" name="__module.model.down_blocks.2.attentions.1.norm/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.0/norm1/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
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+					<dim>10240</dim>
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 		</layer>
-		<layer id="2231" name="/mid_block/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2071" name="__module.model.down_blocks.2.attentions.1.norm/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
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+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/mid_block/resnets.0/norm1/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2232" name="/mid_block/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2072" name="__module.model.down_blocks.2.attentions.1.norm/aten::group_norm/Reshape_1556" type="Reshape" version="opset1">
 			<data special_zero="true" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
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-				<port id="1" precision="I64">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.0/norm1/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
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+					<dim>16</dim>
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 		</layer>
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-			<data element_type="f32" shape="1, 1280, 1, 1" offset="252671556" size="5120" />
+		<layer id="2073" name="Constant_210974_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="279944400" size="2560" />
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 					<dim>1280</dim>
 					<dim>1</dim>
@@ -31596,16 +30836,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2234" name="/mid_block/resnets.0/norm1/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2074" name="Constant_210974" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 			<input>
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-					<dim>8</dim>
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-				<port id="1" precision="FP32">
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 					<dim>1280</dim>
 					<dim>1</dim>
@@ -31613,18 +30850,7 @@
 				</port>
 			</input>
 			<output>
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+				<port id="1" precision="FP32">
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 					<dim>1280</dim>
 					<dim>1</dim>
@@ -31632,14 +30858,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2236" name="/mid_block/resnets.0/norm1/Add" type="Add" version="opset1">
+		<layer id="2075" name="__module.model.down_blocks.2.attentions.1.norm/aten::group_norm/Multiply" type="Multiply" version="opset1">
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+					<dim>16</dim>
+					<dim>16</dim>
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 				<port id="1" precision="FP32">
 					<dim>1</dim>
@@ -31649,174 +30875,156 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.0/norm1/Add_output_0">
+				<port id="2" precision="FP32">
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+					<dim>16</dim>
+					<dim>16</dim>
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+		<layer id="2076" name="Constant_210975_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="279946960" size="2560" />
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 			</output>
 		</layer>
-		<layer id="2237" name="/mid_block/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="2077" name="Constant_210975" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 			<input>
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 			</input>
 			<output>
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 					<dim>1280</dim>
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+		<layer id="2078" name="__module.model.down_blocks.2.attentions.1.norm/aten::group_norm/Add" type="Add" version="opset1">
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 				<port id="0" precision="FP32">
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+		<layer id="2082" name="__module.model.down_blocks.2.attentions.1.proj_in/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
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+		<layer id="2083" name="__module.model.down_blocks.2.attentions.1.proj_in/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
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@@ -31824,14 +31032,14 @@
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 			</output>
 		</layer>
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+		<layer id="2084" name="__module.model.down_blocks.2.attentions.1.proj_in/aten::_convolution/Add_1561" type="Add" version="opset1">
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@@ -31841,1360 +31049,1262 @@
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 		</layer>
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@@ -33206,617 +32316,645 @@
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 		</layer>
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+		<layer id="2225" name="self.model.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -33828,175 +32966,165 @@
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-				<port id="1" precision="FP32">
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+		</layer>
+		<layer id="2228" name="Constant_210980" type="Convert" version="opset1">
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 		</layer>
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@@ -34006,103 +33134,81 @@
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 		</layer>
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@@ -34114,240 +33220,391 @@
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+		<layer id="2264" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::reshape/Reshape_1688" type="Reshape" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>8</dim>
-					<dim>64</dim>
+					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="1814,query.23">
 					<dim>8</dim>
-					<dim>64</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2265" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::size/ShapeOf_1738" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>8</dim>
+					<dim>256</dim>
 					<dim>160</dim>
 				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2422" name="Constant_73502511642890/quantized5424877790" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 768" offset="293764860" size="983040" />
+		<layer id="2266" name="Constant_174715" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="9212052" size="8" />
 			<output>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
-					<dim>768</dim>
+				<port id="0" precision="I32">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2423" name="Constant_73502511642890/quantized/to_f32" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="2267" name="Constant_174716" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1869264" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2268" name="Gather_174717" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
-					<dim>768</dim>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>2</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1280</dim>
-					<dim>768</dim>
+				<port id="3" precision="I32">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2424" name="/mid_block/attentions.0/transformer_blocks.0/attn2/to_k/MatMul/fq_weights_1/scale5425675009" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1" offset="294747900" size="5120" />
+		<layer id="2269" name="self.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 768" offset="299625684" size="1966080" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16" names="508,self.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight">
 					<dim>1280</dim>
-					<dim>1</dim>
+					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2425" name="/mid_block/attentions.0/transformer_blocks.0/attn2/to_k/MatMul/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2270" name="self.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1280</dim>
-					<dim>1</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2426" name="/mid_block/attentions.0/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="2271" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul_1675" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34361,35 +33618,35 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="1799,tensor.249">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2427" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_2511874445" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="85416236" size="32" />
+		<layer id="2272" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/prim::ListConstruct_1703/Concat" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="169792684" size="16" />
 			<output>
-				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_2_output_0">
+				<port id="0" precision="I32" names="1822">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2428" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2273" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::reshape/Reshape_1704" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="1823,tensor.251">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -34397,15 +33654,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2429" name="Constant_78985120" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4692680" size="32" />
-			<output>
-				<port id="0" precision="I64">
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-			</output>
-		</layer>
-		<layer id="2430" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2274" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::permute/Transpose_1705" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -34413,12 +33662,12 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="1824,tensor.253">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
@@ -34426,16 +33675,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2431" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_3512280001" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="85416268" size="24" />
+		<layer id="2275" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/prim::ListConstruct_1710/Concat" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="169792700" size="12" />
 			<output>
-				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_3_output_0">
+				<port id="0" precision="I32" names="1827">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2432" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2276" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::reshape/Reshape_1711" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -34443,35 +33692,133 @@
 					<dim>77</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="1828,key.23">
 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>160</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1, 1" offset="79476968" size="4" />
-			<output>
+		<layer id="2277" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::size/ShapeOf_1741" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
 				<port id="0" precision="FP32">
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2278" name="Constant_174003" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="1868896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2279" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::size/Constant_1742" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="1868900" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="2280" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::size/Gather_1743" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I32" names="1845">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2281" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/prim::ListConstruct_1746/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32" names="1846">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2282" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::empty/Broadcast" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1847,baddbmm_input.23">
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2283" name="Constant_210983_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1" offset="301591764" size="2" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2284" name="Constant_210983" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2434" name="Multiply_74253" type="Multiply" version="opset1">
+		<layer id="2285" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::baddbmm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>8</dim>
+					<dim>256</dim>
 					<dim>77</dim>
-					<dim>160</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
@@ -34482,148 +33829,179 @@
 			<output>
 				<port id="2" precision="FP32">
 					<dim>8</dim>
+					<dim>256</dim>
 					<dim>77</dim>
-					<dim>160</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2435" name="188681887270911" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="294753020" size="4" />
+		<layer id="2286" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="9416862" size="12" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2436" name="188691887373644" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="294753024" size="4" />
+		<layer id="2287" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="2" precision="FP32" names="1848">
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
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 			</output>
 		</layer>
-		<layer id="2437" name="188701887479833" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="294753020" size="4" />
+		<layer id="2288" name="Constant_210984_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1" offset="301591766" size="2" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2438" name="188711887573200" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="294753024" size="4" />
+		<layer id="2289" name="Constant_210984" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			<output>
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+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
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-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2290" name="Multiply_209063" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>8</dim>
-					<dim>77</dim>
 					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
+				<port id="2" precision="FP32">
 					<dim>8</dim>
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 					<dim>160</dim>
+					<dim>77</dim>
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 		</layer>
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-			<data transpose_a="false" transpose_b="true" />
+		<layer id="2291" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::baddbmm/Multiply_1757" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>8</dim>
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+					<dim>256</dim>
 					<dim>160</dim>
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 				<port id="1" precision="FP32">
 					<dim>8</dim>
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 					<dim>160</dim>
+					<dim>77</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32">
 					<dim>8</dim>
-					<dim>64</dim>
+					<dim>256</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2441" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
+		<layer id="2292" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::baddbmm/Add" type="Add" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>8</dim>
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+					<dim>256</dim>
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-			<output>
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+				<port id="1" precision="FP32">
 					<dim>8</dim>
-					<dim>64</dim>
+					<dim>256</dim>
 					<dim>77</dim>
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-			<data element_type="i8" shape="1280, 768" offset="294753028" size="983040" />
+			</input>
 			<output>
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-					<dim>768</dim>
+				<port id="2" precision="FP32" names="1849,attention_scores.23">
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2443" name="Constant_73509512842895/quantized/to_f32" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="2293" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::softmax/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
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-				<port id="0" precision="I8">
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-					<dim>768</dim>
+				<port id="0" precision="FP32">
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
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 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1280</dim>
-					<dim>768</dim>
+				<port id="1" precision="FP32" names="1850,1851,attention_probs.45,attention_probs.47">
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2444" name="/mid_block/attentions.0/transformer_blocks.0/attn2/to_v/MatMul/fq_weights_1/scale5341677250" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1" offset="295736068" size="5120" />
+		<layer id="2294" name="self.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 768" offset="301591768" size="1966080" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16" names="507,self.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight">
 					<dim>1280</dim>
-					<dim>1</dim>
+					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2445" name="/mid_block/attentions.0/transformer_blocks.0/attn2/to_v/MatMul/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2295" name="self.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1280</dim>
-					<dim>1</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2446" name="/mid_block/attentions.0/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="2296" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v/aten::linear/MatMul_1676" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34637,35 +34015,35 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="1800,tensor.255">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2447" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_4513074991" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="85416236" size="32" />
+		<layer id="2297" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/prim::ListConstruct_1726/Concat" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="169792684" size="16" />
 			<output>
-				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_4_output_0">
+				<port id="0" precision="I32" names="1836">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2448" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_4" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2298" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::reshape/Reshape_1727" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="1837,tensor.257">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -34673,15 +34051,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2449" name="Constant_79145132" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4692680" size="32" />
-			<output>
-				<port id="0" precision="I64">
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-				</port>
-			</output>
-		</layer>
-		<layer id="2450" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+		<layer id="2299" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::permute/Transpose_1728" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -34689,12 +34059,12 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="1838,tensor.259">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
@@ -34702,16 +34072,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2451" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_5513475810" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="85416268" size="24" />
+		<layer id="2300" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/prim::ListConstruct_1733/Concat" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="169792700" size="12" />
 			<output>
-				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_5_output_0">
+				<port id="0" precision="I32" names="1841">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2452" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2301" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::reshape/Reshape_1734" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -34719,24 +34089,24 @@
 					<dim>77</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_5_output_0">
+				<port id="2" precision="FP32" names="1842,value.23">
 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>160</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2453" name="/mid_block/attentions.0/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
+		<layer id="2302" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::bmm/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>8</dim>
-					<dim>64</dim>
+					<dim>256</dim>
 					<dim>77</dim>
 				</port>
 				<port id="1" precision="FP32">
@@ -34746,1223 +34116,1176 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="1852,tensor.261">
 					<dim>8</dim>
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+					<dim>256</dim>
 					<dim>160</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2454" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_7513778063" type="Const" version="opset1">
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-					<dim>4</dim>
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-		</layer>
-		<layer id="2455" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2303" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::size/ShapeOf_1761" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>8</dim>
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+					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
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 			</input>
 			<output>
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-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>64</dim>
-					<dim>160</dim>
+				<port id="1" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="2456" name="Constant_79375139" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4692680" size="32" />
+		<layer id="2304" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::size/Constant_1759" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="1868900" size="4" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="2457" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Transpose_4" type="Transpose" version="opset1">
+		<layer id="2305" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::size/Gather_1760" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
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-					<dim>160</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="I32">
+					<dim>3</dim>
 				</port>
+				<port id="1" precision="I32" />
+				<port id="2" precision="I32" />
 			</input>
 			<output>
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-					<dim>1</dim>
-					<dim>64</dim>
-					<dim>8</dim>
-					<dim>160</dim>
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+				<port id="3" precision="I32" names="1853" />
 			</output>
 		</layer>
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+		<layer id="2306" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::floor_divide/Divide_1767" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
+			</input>
 			<output>
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-					<dim>3</dim>
-				</port>
+				<port id="2" precision="I32" />
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 		</layer>
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-			<data special_zero="true" />
+		<layer id="2307" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::floor_divide/Floor_1768" type="Floor" version="opset1">
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-				<port id="1" precision="I64">
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+				<port id="0" precision="I32" />
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 			<output>
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+				<port id="1" precision="I32" names="1858,1859" />
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 					<dim>1</dim>
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 			<output>
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+		<layer id="2311" name="Constant_174008" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="1868896" size="4" />
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-		<layer id="2540" name="/mid_block/attentions.0/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2375" name="__module.model.down_blocks.2.attentions.1/aten::permute/Transpose_1796" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
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+					<dim>16</dim>
+					<dim>16</dim>
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="1881">
 					<dim>1</dim>
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-					<dim>8</dim>
 					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
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 			</output>
 		</layer>
-		<layer id="2541" name="Constant_81315189" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="6964244" size="32" />
+		<layer id="2376" name="self.model.down_blocks.2.attentions.1.proj_out.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280, 1, 1" offset="346186968" size="3276800" />
 			<output>
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-					<dim>4</dim>
+				<port id="0" precision="FP16" names="497,self.model.down_blocks.2.attentions.1.proj_out.weight">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2377" name="self.model.down_blocks.2.attentions.1.proj_out.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2542" name="/mid_block/attentions.0/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2378" name="__module.model.down_blocks.2.attentions.1.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
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-					<dim>8</dim>
 					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/Transpose_1_output_0">
+				<port id="2" precision="FP32">
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 					<dim>1280</dim>
-					<dim>8</dim>
-					<dim>8</dim>
+					<dim>16</dim>
+					<dim>16</dim>
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 		</layer>
-		<layer id="2543" name="mid_block.attentions.0.proj_out.weight519142925/quantized4752876134" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 1, 1" offset="317132612" size="1638400" />
+		<layer id="2379" name="__module.model.down_blocks.2.attentions.1.proj_out/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="349463768" size="2560" />
 			<output>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1280</dim>
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 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2544" name="mid_block.attentions.0.proj_out.weight519142925/quantized/to_f32" type="Convert" version="opset1">
+		<layer id="2380" name="__module.model.down_blocks.2.attentions.1.proj_out/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="0" precision="FP16">
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 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -35970,63 +35293,110 @@
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1280</dim>
+					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="1280, 1, 1, 1" offset="318771012" size="5120" />
-			<output>
+		<layer id="2381" name="__module.model.down_blocks.2.attentions.1.proj_out/aten::_convolution/Add_1800" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
 				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1883,hidden_states.183">
 					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2546" name="/mid_block/attentions.0/proj_out/Conv/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
+		<layer id="2382" name="__module.model.down_blocks.2.attentions.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1280</dim>
-					<dim>1280</dim>
-					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1280</dim>
-					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1884,hidden_states.185">
 					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2383" name="self.model.down_blocks.2.downsamplers.0.conv.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280, 3, 3" offset="349466328" size="29491200" />
+			<output>
+				<port id="0" precision="FP16" names="495,self.model.down_blocks.2.downsamplers.0.conv.weight">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2384" name="self.model.down_blocks.2.downsamplers.0.conv.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>1280</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2547" name="/mid_block/attentions.0/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+		<layer id="2385" name="__module.model.down_blocks.2.downsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
-					<dim>8</dim>
-					<dim>8</dim>
+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>1280</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
@@ -36038,10 +35408,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2548" name="Reshape_8153519373128" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="318776132" size="5120" />
+		<layer id="2386" name="__module.model.down_blocks.2.downsamplers.0.conv/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="378957528" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -36049,16 +35419,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2549" name="/mid_block/attentions.0/proj_out/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2387" name="__module.model.down_blocks.2.downsamplers.0.conv/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
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-					<dim>1280</dim>
-					<dim>8</dim>
-					<dim>8</dim>
-				</port>
-				<port id="1" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -36066,15 +35433,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/proj_out/Conv_output_0">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
-					<dim>8</dim>
-					<dim>8</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2550" name="/mid_block/attentions.0/Add" type="Add" version="opset1">
+		<layer id="2388" name="__module.model.down_blocks.2.downsamplers.0.conv/aten::_convolution/Add_1804" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36086,12 +35453,12 @@
 				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
-					<dim>8</dim>
-					<dim>8</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/Add_output_0">
+				<port id="2" precision="FP32" names="1885,input.201">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -36099,15 +35466,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2551" name="/mid_block/resnets.1/norm1/Constant519675537" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="563208" size="24" />
+		<layer id="2389" name="__module.model.down_blocks.3.resnets.0.norm1/aten::group_norm/Constant_1807" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23744" size="12" />
 			<output>
-				<port id="0" precision="I64" names="/mid_block/resnets.1/norm1/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2552" name="/mid_block/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+		<layer id="2390" name="__module.model.down_blocks.3.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36116,27 +35483,27 @@
 					<dim>8</dim>
 					<dim>8</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm1/Reshape_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2553" name="Constant_8191519872234" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="563232" size="8" />
+		<layer id="2391" name="__module.model.down_blocks.3.resnets.0.norm1/aten::group_norm/Constant_1808" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23756" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2554" name="MVN_8192" type="MVN" version="opset6">
+		<layer id="2392" name="__module.model.down_blocks.3.resnets.0.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36144,20 +35511,20 @@
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm1/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2555" name="/mid_block/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2393" name="__module.model.down_blocks.3.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -36167,12 +35534,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/mid_block/resnets.1/norm1/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2556" name="/mid_block/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2394" name="__module.model.down_blocks.3.resnets.0.norm1/aten::group_norm/Reshape_1809" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36180,12 +35547,12 @@
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm1/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -36193,10 +35560,32 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2557" name="Constant_75070520273257" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="318781252" size="5120" />
+		<layer id="2395" name="Constant_210990_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="378960088" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2396" name="Constant_210990" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -36204,7 +35593,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2558" name="/mid_block/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+		<layer id="2397" name="__module.model.down_blocks.3.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36221,7 +35610,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm1/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -36229,10 +35618,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2559" name="Constant_75071520476002" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="318786372" size="5120" />
+		<layer id="2398" name="Constant_210991_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="378962648" size="2560" />
 			<output>
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+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -36240,16 +35629,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2560" name="/mid_block/resnets.1/norm1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2399" name="Constant_210991" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
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-					<dim>8</dim>
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-				<port id="1" precision="FP32">
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 					<dim>1280</dim>
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@@ -36257,15 +35643,16 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm1/Add_output_0">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
-					<dim>8</dim>
-					<dim>8</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2561" name="/mid_block/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="2400" name="__module.model.down_blocks.3.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -36273,9 +35660,15 @@
 					<dim>8</dim>
 					<dim>8</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/mid_block/resnets.1/nonlinearity/Mul_output_0">
+				<port id="2" precision="FP32" names="1886,input.203">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -36283,32 +35676,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2562" name="173081731273155" type="Const" version="opset1">
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-				<port id="0" precision="FP32" />
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-		<layer id="2564" name="173101731471715" type="Const" version="opset1">
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-				<port id="0" precision="FP32" />
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-		<layer id="2565" name="173111731578594" type="Const" version="opset1">
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-				<port id="0" precision="FP32" />
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-		<layer id="2566" name="/mid_block/resnets.1/conv1/Conv/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2401" name="__module.model.conv_act/aten::silu/Swish_1811" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -36316,13 +35684,9 @@
 					<dim>8</dim>
 					<dim>8</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
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-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
+				<port id="1" precision="FP32" names="1887,hidden_states.187">
 					<dim>1</dim>
 					<dim>1280</dim>
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@@ -36330,10 +35694,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2567" name="mid_block.resnets.1.conv1.weight520742931/quantized5421874247" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 3, 3" offset="318791500" size="14745600" />
+		<layer id="2402" name="self.model.down_blocks.3.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280, 3, 3" offset="378965208" size="29491200" />
 			<output>
-				<port id="0" precision="I8">
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 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -36341,10 +35705,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2568" name="mid_block.resnets.1.conv1.weight520742931/quantized/to_f32" type="Convert" version="opset1">
+		<layer id="2403" name="self.model.down_blocks.3.resnets.0.conv1.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -36360,43 +35727,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2569" name="/mid_block/resnets.1/conv1/Conv/WithoutBiases/fq_weights_1/scale5422677727" type="Const" version="opset1">
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-					<dim>1</dim>
-					<dim>1</dim>
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-		</layer>
-		<layer id="2570" name="/mid_block/resnets.1/conv1/Conv/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
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-					<dim>1280</dim>
-					<dim>3</dim>
-					<dim>3</dim>
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-				<port id="1" precision="FP32">
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-					<dim>3</dim>
-					<dim>3</dim>
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-			</output>
-		</layer>
-		<layer id="2571" name="/mid_block/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="2404" name="__module.model.down_blocks.3.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36421,10 +35752,32 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2572" name="Reshape_8316520971694" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="333542220" size="5120" />
+		<layer id="2405" name="__module.model.down_blocks.3.resnets.0.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="408456408" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2406" name="__module.model.down_blocks.3.resnets.0.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -36432,7 +35785,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2573" name="/mid_block/resnets.1/conv1/Conv" type="Add" version="opset1">
+		<layer id="2407" name="__module.model.down_blocks.3.resnets.0.conv1/aten::_convolution/Add_1815" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36449,7 +35802,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/conv1/Conv_output_0">
+				<port id="2" precision="FP32" names="1888,hidden_states.189">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -36457,19 +35810,22 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i8" shape="1280, 1280" offset="333547340" size="1638400" />
+		<layer id="2408" name="self.model.down_blocks.3.resnets.0.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="408458968" size="3276800" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP16" names="489,self.model.down_blocks.3.resnets.0.time_emb_proj.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2575" name="mid_block.resnets.1.time_emb_proj.weight521142933/quantized/to_f32" type="Convert" version="opset1">
+		<layer id="2409" name="self.model.down_blocks.3.resnets.0.time_emb_proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
@@ -36481,128 +35837,194 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2576" name="/mid_block/resnets.1/time_emb_proj/Gemm/WithoutBiases/fq_weights_1/scale4825671100" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1" offset="335185740" size="5120" />
-			<output>
+		<layer id="2410" name="__module.model.down_blocks.3.resnets.0.time_emb_proj/aten::linear/MatMul_1816" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
 				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
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+				<port id="1" precision="FP32">
 					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
 					<dim>1</dim>
+					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2577" name="/mid_block/resnets.1/time_emb_proj/Gemm/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1280</dim>
+		<layer id="2411" name="Constant_210992_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280" offset="411735768" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1280</dim>
+			</output>
+		</layer>
+		<layer id="2412" name="Constant_210992" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16">
 					<dim>1</dim>
+					<dim>1280</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>1280</dim>
+				<port id="1" precision="FP32">
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 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2578" name="/mid_block/resnets.1/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
+		<layer id="2413" name="__module.model.down_blocks.3.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1280</dim>
+					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="1889">
 					<dim>1</dim>
 					<dim>1280</dim>
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 		</layer>
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-			<data element_type="f32" shape="1, 1280" offset="335190860" size="5120" />
+		<layer id="2414" name="__module.model.down_blocks.3.resnets.0/aten::slice/Unsqueeze_1817" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="1868900" size="4" />
 			<output>
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 		</layer>
-		<layer id="2580" name="/mid_block/resnets.1/time_emb_proj/Gemm" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2415" name="__module.model.down_blocks.3.resnets.0/aten::slice/Unsqueeze_1818" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1868904" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="2416" name="__module.model.down_blocks.3.resnets.0/aten::slice/Unsqueeze_1819" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="1868896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="2417" name="__module.model.down_blocks.3.resnets.0/aten::slice/Slice" type="StridedSlice" version="opset1">
+			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="I32">
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+				<port id="2" precision="I64">
+					<dim>1</dim>
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+				<port id="3" precision="I32">
 					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/time_emb_proj/Gemm_output_0">
+				<port id="4" precision="FP32" names="1890">
 					<dim>1</dim>
 					<dim>1280</dim>
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 		</layer>
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+		<layer id="2418" name="Constant_191009" type="Const" version="opset1">
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-					<dim>1</dim>
+				<port id="0" precision="I32">
+					<dim>2</dim>
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+		</layer>
+		<layer id="2419" name="Constant_191012" type="Const" version="opset1">
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+		<layer id="2420" name="Constant_191015" type="Const" version="opset1">
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 		</layer>
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+		<layer id="2421" name="__module.model.down_blocks.3.resnets.0/aten::slice/Slice_1825" type="StridedSlice" version="opset1">
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 				<port id="0" precision="FP32">
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+				<port id="2" precision="I64">
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 			<output>
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+				<port id="0" precision="FP32">
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 		</layer>
-		<layer id="2584" name="/mid_block/resnets.1/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="2423" name="__module.model.down_blocks.3.resnets.0/aten::unsqueeze/Unsqueeze_1826" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="I32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/Unsqueeze_1_output_0">
+				<port id="2" precision="FP32" names="1893,temb.13">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -36610,7 +36032,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2585" name="/mid_block/resnets.1/Add" type="Add" version="opset1">
+		<layer id="2424" name="__module.model.down_blocks.3.resnets.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36627,7 +36049,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/Add_output_0">
+				<port id="2" precision="FP32" names="1894,input.207">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -36635,15 +36057,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2586" name="/mid_block/resnets.1/norm2/Constant522071439" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="563208" size="24" />
+		<layer id="2425" name="__module.model.down_blocks.3.resnets.0.norm2/aten::group_norm/Constant_1829" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23744" size="12" />
 			<output>
-				<port id="0" precision="I64" names="/mid_block/resnets.1/norm2/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2587" name="/mid_block/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+		<layer id="2426" name="__module.model.down_blocks.3.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36652,27 +36074,27 @@
 					<dim>8</dim>
 					<dim>8</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm2/Reshape_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2588" name="Constant_8364522277703" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="563232" size="8" />
+		<layer id="2427" name="__module.model.down_blocks.3.resnets.0.norm2/aten::group_norm/Constant_1830" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23756" size="4" />
 			<output>
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+				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="2589" name="MVN_8365" type="MVN" version="opset6">
+		<layer id="2428" name="__module.model.down_blocks.3.resnets.0.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36680,20 +36102,20 @@
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm2/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2590" name="/mid_block/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2429" name="__module.model.down_blocks.3.resnets.0.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -36703,12 +36125,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/mid_block/resnets.1/norm2/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2591" name="/mid_block/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2430" name="__module.model.down_blocks.3.resnets.0.norm2/aten::group_norm/Reshape_1831" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36716,12 +36138,12 @@
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm2/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -36729,10 +36151,32 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2592" name="Constant_75073522676788" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="335195980" size="5120" />
+		<layer id="2431" name="Constant_210993_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="411738328" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2432" name="Constant_210993" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -36740,7 +36184,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2593" name="/mid_block/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+		<layer id="2433" name="__module.model.down_blocks.3.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36757,7 +36201,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm2/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -36765,10 +36209,32 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2594" name="Constant_75074522870899" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="335201100" size="5120" />
+		<layer id="2434" name="Constant_210994_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="411740888" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2435" name="Constant_210994" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -36776,7 +36242,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2595" name="/mid_block/resnets.1/norm2/Add" type="Add" version="opset1">
+		<layer id="2436" name="__module.model.down_blocks.3.resnets.0.norm2/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36793,7 +36259,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm2/Add_output_0">
+				<port id="2" precision="FP32" names="1895,input.209">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -36801,7 +36267,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2596" name="/mid_block/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="2437" name="__module.model.conv_act/aten::silu/Swish_1833" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -36811,7 +36277,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/mid_block/resnets.1/nonlinearity_1/Mul_output_0">
+				<port id="1" precision="FP32" names="1896,input.211">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -36819,68 +36285,24 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2597" name="192781928274409" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="335206220" size="4" />
+		<layer id="2438" name="self.model.down_blocks.3.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280, 3, 3" offset="411743448" size="29491200" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="FP16" names="485,self.model.down_blocks.3.resnets.0.conv2.weight">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2598" name="192791928376740" type="Const" version="opset1">
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-				<port id="0" precision="FP32" />
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-		<layer id="2599" name="192801928479776" type="Const" version="opset1">
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-				<port id="0" precision="FP32" />
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-		<layer id="2600" name="192811928573320" type="Const" version="opset1">
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-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="2601" name="/mid_block/resnets.1/conv2/Conv/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
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-				<port id="0" precision="FP32">
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-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
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-					<dim>8</dim>
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-		<layer id="2602" name="mid_block.resnets.1.conv2.weight523142941/quantized5241876866" type="Const" version="opset1">
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-					<dim>1280</dim>
-					<dim>3</dim>
-					<dim>3</dim>
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-		</layer>
-		<layer id="2603" name="mid_block.resnets.1.conv2.weight523142941/quantized/to_f32" type="Convert" version="opset1">
+		<layer id="2439" name="self.model.down_blocks.3.resnets.0.conv2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -36896,43 +36318,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2604" name="/mid_block/resnets.1/conv2/Conv/WithoutBiases/fq_weights_1/scale5242678198" type="Const" version="opset1">
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-					<dim>1</dim>
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-		<layer id="2605" name="/mid_block/resnets.1/conv2/Conv/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1280</dim>
-					<dim>1280</dim>
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-					<dim>3</dim>
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-				<port id="1" precision="FP32">
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-			<output>
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-					<dim>1280</dim>
-					<dim>3</dim>
-					<dim>3</dim>
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-			</output>
-		</layer>
-		<layer id="2606" name="/mid_block/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="2440" name="__module.model.down_blocks.3.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36957,10 +36343,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2607" name="Reshape_8489523378405" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="349956948" size="5120" />
+		<layer id="2441" name="__module.model.down_blocks.3.resnets.0.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="441234648" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
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 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -36968,16 +36354,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2608" name="/mid_block/resnets.1/conv2/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2442" name="__module.model.down_blocks.3.resnets.0.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
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-					<dim>1280</dim>
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-					<dim>8</dim>
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-				<port id="1" precision="FP32">
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 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -36985,15 +36368,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/conv2/Conv_output_0">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
-					<dim>8</dim>
-					<dim>8</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2609" name="/mid_block/resnets.1/Add_1" type="Add" version="opset1">
+		<layer id="2443" name="__module.model.down_blocks.3.resnets.0.conv2/aten::_convolution/Add_1837" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37005,12 +36388,12 @@
 				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
-					<dim>8</dim>
-					<dim>8</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/Add_1_output_0,/mid_block/resnets.1/Div_output_0">
+				<port id="2" precision="FP32" names="1897,hidden_states.193">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -37018,8 +36401,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2610" name="/up_blocks.0/Concat" type="Concat" version="opset1">
-			<data axis="1" />
+		<layer id="2444" name="__module.model.down_blocks.3.resnets.0/aten::add/Add_1840" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -37035,141 +36418,97 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/Concat_output_0">
+				<port id="2" precision="FP32" names="1898,1899,input.213">
 					<dim>1</dim>
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+					<dim>1280</dim>
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 					<dim>8</dim>
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 			</output>
 		</layer>
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+		<layer id="2449" name="__module.model.down_blocks.3.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
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+		<layer id="2450" name="__module.model.down_blocks.3.resnets.1.norm1/aten::group_norm/Reshape_1845" type="Reshape" version="opset1">
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@@ -37181,10 +36520,10 @@
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-			<data element_type="f32" shape="1280, 1, 1, 1" offset="382760804" size="5120" />
+			</input>
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1280</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="2642" name="/up_blocks.0/resnets.0/conv1/Conv/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
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-					<dim>2560</dim>
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-					<dim>3</dim>
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 				<port id="1" precision="FP32">
 					<dim>1280</dim>
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-					<dim>1</dim>
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 					<dim>1280</dim>
-					<dim>2560</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2643" name="/up_blocks.0/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="2460" name="__module.model.down_blocks.3.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>2560</dim>
+					<dim>1280</dim>
 					<dim>8</dim>
 					<dim>8</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1280</dim>
-					<dim>2560</dim>
+					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
@@ -37539,10 +36712,32 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2644" name="Reshape_8655525478081" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="382765924" size="5120" />
+		<layer id="2461" name="__module.model.down_blocks.3.resnets.1.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="470733528" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2462" name="__module.model.down_blocks.3.resnets.1.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -37550,7 +36745,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2645" name="/up_blocks.0/resnets.0/conv1/Conv" type="Add" version="opset1">
+		<layer id="2463" name="__module.model.down_blocks.3.resnets.1.conv1/aten::_convolution/Add_1851" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37567,7 +36762,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/conv1/Conv_output_0">
+				<port id="2" precision="FP32" names="1902,hidden_states.197">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -37575,19 +36770,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2646" name="up_blocks.0.resnets.0.time_emb_proj.weight525642951/quantized4908872489" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280" offset="382771044" size="1638400" />
+		<layer id="2464" name="self.model.down_blocks.3.resnets.1.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="470736088" size="3276800" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP16" names="479,self.model.down_blocks.3.resnets.1.time_emb_proj.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2647" name="up_blocks.0.resnets.0.time_emb_proj.weight525642951/quantized/to_f32" type="Convert" version="opset1">
+		<layer id="2465" name="self.model.down_blocks.3.resnets.1.time_emb_proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
@@ -37599,128 +36797,194 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2648" name="/up_blocks.0/resnets.0/time_emb_proj/Gemm/WithoutBiases/fq_weights_1/scale4909672018" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1" offset="384409444" size="5120" />
-			<output>
+		<layer id="2466" name="__module.model.down_blocks.3.resnets.1.time_emb_proj/aten::linear/MatMul_1852" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
 				<port id="0" precision="FP32">
+					<dim>1</dim>
 					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
 					<dim>1</dim>
+					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2649" name="/up_blocks.0/resnets.0/time_emb_proj/Gemm/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1280</dim>
+		<layer id="2467" name="Constant_210997_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280" offset="474012888" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1280</dim>
+			</output>
+		</layer>
+		<layer id="2468" name="Constant_210997" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1</dim>
+					<dim>1280</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>1280</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2650" name="/up_blocks.0/resnets.0/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
+		<layer id="2469" name="__module.model.down_blocks.3.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1280</dim>
+					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="1903">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2651" name="Constant_75077525872171" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280" offset="384414564" size="5120" />
+		<layer id="2470" name="__module.model.down_blocks.3.resnets.1/aten::slice/Unsqueeze_1853" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="1868900" size="4" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I32">
 					<dim>1</dim>
-					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2652" name="/up_blocks.0/resnets.0/time_emb_proj/Gemm" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2471" name="__module.model.down_blocks.3.resnets.1/aten::slice/Unsqueeze_1854" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1868904" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2472" name="__module.model.down_blocks.3.resnets.1/aten::slice/Unsqueeze_1855" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="1868896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2473" name="__module.model.down_blocks.3.resnets.1/aten::slice/Slice" type="StridedSlice" version="opset1">
+			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I32">
 					<dim>1</dim>
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/time_emb_proj/Gemm_output_0">
+				<port id="4" precision="FP32" names="1904">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="563232" size="8" />
+		<layer id="2474" name="Constant_191022" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="1869264" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.0/resnets.0/Constant_output_0">
-					<dim>1</dim>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2475" name="Constant_191025" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="1869240" size="16" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2476" name="Constant_191028" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="1869256" size="8" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2654" name="/up_blocks.0/resnets.0/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="2477" name="__module.model.down_blocks.3.resnets.1/aten::slice/Slice_1861" type="StridedSlice" version="opset1">
+			<data begin_mask="1, 0" end_mask="1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="I32">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="3" precision="I32">
+					<dim>2</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/Unsqueeze_output_0">
+				<port id="4" precision="FP32" names="1905">
 					<dim>1</dim>
 					<dim>1280</dim>
-					<dim>1</dim>
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 		</layer>
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-			<data element_type="i64" shape="1" offset="3550784" size="8" />
+		<layer id="2478" name="__module.model.down_blocks.3.resnets.1/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I32" />
+			</input>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.0/resnets.0/Constant_1_output_0">
+				<port id="2" precision="FP32" names="1906">
+					<dim>1</dim>
+					<dim>1280</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2656" name="/up_blocks.0/resnets.0/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="2479" name="__module.model.down_blocks.3.resnets.1/aten::unsqueeze/Unsqueeze_1862" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
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+				<port id="1" precision="I32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/Unsqueeze_1_output_0">
+				<port id="2" precision="FP32" names="1907,temb.15">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -37728,7 +36992,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2657" name="/up_blocks.0/resnets.0/Add" type="Add" version="opset1">
+		<layer id="2480" name="__module.model.down_blocks.3.resnets.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37745,7 +37009,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/Add_output_0">
+				<port id="2" precision="FP32" names="1908,input.219">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -37753,15 +37017,15 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="3" offset="563208" size="24" />
+		<layer id="2481" name="__module.model.down_blocks.3.resnets.1.norm2/aten::group_norm/Constant_1865" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23744" size="12" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.0/resnets.0/norm2/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2659" name="/up_blocks.0/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+		<layer id="2482" name="__module.model.down_blocks.3.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37770,27 +37034,27 @@
 					<dim>8</dim>
 					<dim>8</dim>
 				</port>
-				<port id="1" precision="I64">
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 					<dim>3</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/norm2/Reshape_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="2660" name="Constant_8703526774649" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="563232" size="8" />
+		<layer id="2483" name="__module.model.down_blocks.3.resnets.1.norm2/aten::group_norm/Constant_1866" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23756" size="4" />
 			<output>
-				<port id="0" precision="I64">
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 					<dim>1</dim>
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 		</layer>
-		<layer id="2661" name="MVN_8704" type="MVN" version="opset6">
+		<layer id="2484" name="__module.model.down_blocks.3.resnets.1.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37798,20 +37062,20 @@
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/norm2/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2662" name="/up_blocks.0/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2485" name="__module.model.down_blocks.3.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -37821,12 +37085,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/up_blocks.0/resnets.0/norm2/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
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 		</layer>
-		<layer id="2663" name="/up_blocks.0/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2486" name="__module.model.down_blocks.3.resnets.1.norm2/aten::group_norm/Reshape_1867" type="Reshape" version="opset1">
 			<data special_zero="true" />
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@@ -37834,12 +37098,12 @@
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 					<dim>2560</dim>
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+				<port id="2" precision="FP32">
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@@ -37847,10 +37111,10 @@
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+		<layer id="2487" name="Constant_210998_compressed" type="Const" version="opset1">
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@@ -37858,16 +37122,13 @@
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+		<layer id="2488" name="Constant_210998" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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@@ -37875,18 +37136,7 @@
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 			</input>
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@@ -37894,7 +37144,7 @@
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
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@@ -37911,7 +37161,7 @@
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 			</input>
 			<output>
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+				<port id="2" precision="FP32">
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 					<dim>1280</dim>
 					<dim>8</dim>
@@ -37919,139 +37169,65 @@
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 		</layer>
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+		<layer id="2490" name="Constant_210999_compressed" type="Const" version="opset1">
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 			<output>
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 		</layer>
-		<layer id="2675" name="up_blocks.0.resnets.0.conv2.weight527642959/quantized/to_f32" type="Convert" version="opset1">
+		<layer id="2491" name="Constant_210999" type="Convert" version="opset1">
 			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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 					<dim>1</dim>
+					<dim>1280</dim>
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 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="2677" name="/up_blocks.0/resnets.0/conv2/Conv/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
+		<layer id="2492" name="__module.model.down_blocks.3.resnets.1.norm2/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>8</dim>
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 				<port id="1" precision="FP32">
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 					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32">
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+				<port id="2" precision="FP32" names="1909,input.221">
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-					<dim>3</dim>
+					<dim>8</dim>
+					<dim>8</dim>
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 		</layer>
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+		<layer id="2493" name="__module.model.conv_act/aten::silu/Swish_1869" type="Swish" version="opset4">
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 				<port id="0" precision="FP32">
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@@ -38059,15 +37235,9 @@
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 					<dim>8</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP32" names="1910,input.223">
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 					<dim>1280</dim>
 					<dim>8</dim>
@@ -38075,69 +37245,41 @@
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1280, 1, 1" offset="399180652" size="5120" />
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+			<data element_type="f16" shape="1280, 1280, 3, 3" offset="474020568" size="29491200" />
 			<output>
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+				<port id="0" precision="FP16" names="475,self.model.down_blocks.3.resnets.1.conv2.weight">
 					<dim>1280</dim>
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+					<dim>3</dim>
+					<dim>3</dim>
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 			</output>
 		</layer>
-		<layer id="2680" name="/up_blocks.0/resnets.0/conv2/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2495" name="self.model.down_blocks.3.resnets.1.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 			<input>
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 					<dim>1280</dim>
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+					<dim>3</dim>
+					<dim>3</dim>
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 					<dim>1280</dim>
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 		</layer>
-		<layer id="2682" name="/up_blocks.0/Concat_1" type="Concat" version="opset1">
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+		<layer id="2496" name="__module.model.down_blocks.3.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
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@@ -38146,152 +37288,72 @@
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 					<dim>1280</dim>
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+					<dim>1280</dim>
+					<dim>3</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32">
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+		<layer id="2497" name="__module.model.down_blocks.3.resnets.1.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
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@@ -38299,18 +37361,7 @@
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 		</layer>
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-		<layer id="2694" name="/up_blocks.0/resnets.1/conv_shortcut/Conv" type="Add" version="opset1">
+		<layer id="2500" name="__module.model.down_blocks.3.resnets.1/aten::add/Add_1876" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -38322,12 +37373,12 @@
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 					<dim>1280</dim>
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 					<dim>1280</dim>
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@@ -38335,315 +37386,279 @@
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 		</layer>
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 		</layer>
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 			<data special_zero="true" />
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 		</layer>
-		<layer id="2698" name="MVN_8918" type="MVN" version="opset6">
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 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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 					<dim>32</dim>
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 		</layer>
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+		<layer id="2505" name="__module.model.mid_block.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
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 			</input>
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+				<port id="1" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="2700" name="/up_blocks.0/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2506" name="__module.model.mid_block.resnets.0.norm1/aten::group_norm/Reshape_1881" type="Reshape" version="opset1">
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+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="2508" name="Constant_211000" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+					<dim>1280</dim>
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 			</output>
 		</layer>
-		<layer id="2702" name="/up_blocks.0/resnets.1/norm1/Mul" type="Multiply" version="opset1">
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 			<input>
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 		</layer>
-		<layer id="2704" name="/up_blocks.0/resnets.1/norm1/Add" type="Add" version="opset1">
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+		<layer id="2511" name="Constant_211001" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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 		</layer>
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+		<layer id="2512" name="__module.model.mid_block.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
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+				<port id="2" precision="FP32" names="1914,input.227">
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+		<layer id="2513" name="__module.model.conv_act/aten::silu/Swish_1883" type="Swish" version="opset4">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
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+		<layer id="2515" name="self.model.mid_block.resnets.0.conv1.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 		</layer>
-		<layer id="2715" name="/up_blocks.0/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="2516" name="__module.model.mid_block.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
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 					<dim>8</dim>
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 				<port id="1" precision="FP32">
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 					<dim>3</dim>
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@@ -38657,10 +37672,32 @@
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 		</layer>
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+		<layer id="2517" name="__module.model.mid_block.resnets.0.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="533010648" size="2560" />
 			<output>
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+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="2518" name="__module.model.mid_block.resnets.0.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 					<dim>1</dim>
@@ -38668,7 +37705,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2717" name="/up_blocks.0/resnets.1/conv1/Conv" type="Add" version="opset1">
+		<layer id="2519" name="__module.model.mid_block.resnets.0.conv1/aten::_convolution/Add_1887" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -38685,7 +37722,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/conv1/Conv_output_0">
+				<port id="2" precision="FP32" names="1916,hidden_states.205">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -38693,19 +37730,22 @@
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 		</layer>
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+		<layer id="2520" name="self.model.mid_block.resnets.0.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="533013208" size="3276800" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP16" names="469,self.model.mid_block.resnets.0.time_emb_proj.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2719" name="up_blocks.0.resnets.1.time_emb_proj.weight530142969/quantized/to_f32" type="Convert" version="opset1">
+		<layer id="2521" name="self.model.mid_block.resnets.0.time_emb_proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
@@ -38717,128 +37757,194 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2720" name="/up_blocks.0/resnets.1/time_emb_proj/Gemm/WithoutBiases/fq_weights_1/scale5185674187" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1" offset="433633148" size="5120" />
-			<output>
+		<layer id="2522" name="__module.model.mid_block.resnets.0.time_emb_proj/aten::linear/MatMul_1888" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
 				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
 					<dim>1</dim>
+					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2721" name="/up_blocks.0/resnets.1/time_emb_proj/Gemm/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1280</dim>
+		<layer id="2523" name="Constant_211002_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280" offset="536290008" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1280</dim>
+			</output>
+		</layer>
+		<layer id="2524" name="Constant_211002" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1</dim>
+					<dim>1280</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>1280</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2722" name="/up_blocks.0/resnets.1/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
+		<layer id="2525" name="__module.model.mid_block.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1280</dim>
+					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="1917">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2723" name="Constant_75082530377298" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280" offset="433638268" size="5120" />
+		<layer id="2526" name="__module.model.mid_block.resnets.0/aten::slice/Unsqueeze_1889" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="1868900" size="4" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I32">
 					<dim>1</dim>
-					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2724" name="/up_blocks.0/resnets.1/time_emb_proj/Gemm" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2527" name="__module.model.mid_block.resnets.0/aten::slice/Unsqueeze_1890" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1868904" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2528" name="__module.model.mid_block.resnets.0/aten::slice/Unsqueeze_1891" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="1868896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2529" name="__module.model.mid_block.resnets.0/aten::slice/Slice" type="StridedSlice" version="opset1">
+			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I32">
 					<dim>1</dim>
-					<dim>1280</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/time_emb_proj/Gemm_output_0">
+				<port id="4" precision="FP32" names="1918">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2725" name="/up_blocks.0/resnets.1/Constant530578933" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="563232" size="8" />
+		<layer id="2530" name="Constant_191035" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="1869264" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.0/resnets.1/Constant_output_0">
-					<dim>1</dim>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2531" name="Constant_191038" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="1869240" size="16" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2726" name="/up_blocks.0/resnets.1/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="2532" name="Constant_191041" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="1869256" size="8" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2533" name="__module.model.mid_block.resnets.0/aten::slice/Slice_1897" type="StridedSlice" version="opset1">
+			<data begin_mask="1, 0" end_mask="1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="I32">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="3" precision="I32">
+					<dim>2</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/Unsqueeze_output_0">
+				<port id="4" precision="FP32" names="1919">
 					<dim>1</dim>
 					<dim>1280</dim>
-					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2727" name="/up_blocks.0/resnets.1/Constant_1530771514" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3550784" size="8" />
+		<layer id="2534" name="__module.model.mid_block.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I32" />
+			</input>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.0/resnets.1/Constant_1_output_0">
+				<port id="2" precision="FP32" names="1920">
+					<dim>1</dim>
+					<dim>1280</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2728" name="/up_blocks.0/resnets.1/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="2535" name="__module.model.mid_block.resnets.0/aten::unsqueeze/Unsqueeze_1898" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="I32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/Unsqueeze_1_output_0">
+				<port id="2" precision="FP32" names="1921,temb.17">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -38846,7 +37952,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2729" name="/up_blocks.0/resnets.1/Add" type="Add" version="opset1">
+		<layer id="2536" name="__module.model.mid_block.resnets.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38863,7 +37969,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/Add_output_0">
+				<port id="2" precision="FP32" names="1922,input.231">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -38871,15 +37977,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2730" name="/up_blocks.0/resnets.1/norm2/Constant531074592" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="563208" size="24" />
+		<layer id="2537" name="__module.model.mid_block.resnets.0.norm2/aten::group_norm/Constant_1901" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23744" size="12" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.0/resnets.1/norm2/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2731" name="/up_blocks.0/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+		<layer id="2538" name="__module.model.mid_block.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38888,27 +37994,27 @@
 					<dim>8</dim>
 					<dim>8</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/norm2/Reshape_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2732" name="Constant_9090531271994" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="563232" size="8" />
+		<layer id="2539" name="__module.model.mid_block.resnets.0.norm2/aten::group_norm/Constant_1902" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23756" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2733" name="MVN_9091" type="MVN" version="opset6">
+		<layer id="2540" name="__module.model.mid_block.resnets.0.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38916,20 +38022,20 @@
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/norm2/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2734" name="/up_blocks.0/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2541" name="__module.model.mid_block.resnets.0.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -38939,12 +38045,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/up_blocks.0/resnets.1/norm2/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2735" name="/up_blocks.0/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2542" name="__module.model.mid_block.resnets.0.norm2/aten::group_norm/Reshape_1903" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38952,12 +38058,12 @@
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/norm2/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -38965,10 +38071,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2736" name="Constant_75083531673173" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="433643388" size="5120" />
+		<layer id="2543" name="Constant_211003_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="536292568" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -38976,16 +38082,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2737" name="/up_blocks.0/resnets.1/norm2/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2544" name="Constant_211003" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1280</dim>
-					<dim>8</dim>
-					<dim>8</dim>
-				</port>
-				<port id="1" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -38993,18 +38096,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/norm2/Mul_output_0">
-					<dim>1</dim>
-					<dim>1280</dim>
-					<dim>8</dim>
-					<dim>8</dim>
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-			</output>
-		</layer>
-		<layer id="2738" name="Constant_75084531879668" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="433648508" size="5120" />
-			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -39012,7 +38104,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2739" name="/up_blocks.0/resnets.1/norm2/Add" type="Add" version="opset1">
+		<layer id="2545" name="__module.model.mid_block.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39029,7 +38121,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/norm2/Add_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -39037,7 +38129,41 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2740" name="/up_blocks.0/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="2546" name="Constant_211004_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="536295128" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2547" name="Constant_211004" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2548" name="__module.model.mid_block.resnets.0.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -39045,9 +38171,15 @@
 					<dim>8</dim>
 					<dim>8</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.0/resnets.1/nonlinearity_1/Mul_output_0">
+				<port id="2" precision="FP32" names="1923,input.233">
 					<dim>1</dim>
 					<dim>1280</dim>
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@@ -39055,32 +38187,7 @@
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 		</layer>
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-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2549" name="__module.model.conv_act/aten::silu/Swish_1905" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
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@@ -39088,13 +38195,9 @@
 					<dim>8</dim>
 					<dim>8</dim>
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 			</input>
 			<output>
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+				<port id="1" precision="FP32" names="1924,input.235">
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 					<dim>1280</dim>
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@@ -39102,10 +38205,10 @@
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 		</layer>
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-			<data element_type="i8" shape="1280, 1280, 3, 3" offset="433653636" size="14745600" />
+		<layer id="2550" name="self.model.mid_block.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280, 3, 3" offset="536297688" size="29491200" />
 			<output>
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 					<dim>1280</dim>
 					<dim>1280</dim>
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@@ -39113,10 +38216,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2747" name="up_blocks.0.resnets.1.conv2.weight532142977/quantized/to_f32" type="Convert" version="opset1">
+		<layer id="2551" name="self.model.mid_block.resnets.0.conv2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
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 					<dim>1280</dim>
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@@ -39132,43 +38238,7 @@
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="FP32">
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-					<dim>3</dim>
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-		</layer>
-		<layer id="2750" name="/up_blocks.0/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="2552" name="__module.model.mid_block.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39193,10 +38263,10 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1280, 1, 1" offset="448404356" size="5120" />
+		<layer id="2553" name="__module.model.mid_block.resnets.0.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="565788888" size="2560" />
 			<output>
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 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -39204,16 +38274,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2752" name="/up_blocks.0/resnets.1/conv2/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2554" name="__module.model.mid_block.resnets.0.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
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-					<dim>1280</dim>
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-					<dim>8</dim>
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-				<port id="1" precision="FP32">
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 					<dim>1280</dim>
 					<dim>1</dim>
@@ -39221,15 +38288,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/conv2/Conv_output_0">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
-					<dim>8</dim>
-					<dim>8</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2753" name="/up_blocks.0/resnets.1/Add_1" type="Add" version="opset1">
+		<layer id="2555" name="__module.model.mid_block.resnets.0.conv2/aten::_convolution/Add_1909" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39241,12 +38308,12 @@
 				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
-					<dim>8</dim>
-					<dim>8</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/Add_1_output_0,/up_blocks.0/resnets.1/Div_output_0">
+				<port id="2" precision="FP32" names="1925,hidden_states.209">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -39254,8 +38321,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2754" name="/up_blocks.0/Concat_2" type="Concat" version="opset1">
-			<data axis="1" />
+		<layer id="2556" name="__module.model.mid_block.resnets.0/aten::add/Add_1912" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -39271,139 +38338,153 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/Concat_2_output_0">
+				<port id="2" precision="FP32" names="1926,1927,hidden_states.211">
 					<dim>1</dim>
-					<dim>2560</dim>
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 					<dim>8</dim>
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 		</layer>
-		<layer id="2755" name="146081461272921" type="Const" version="opset1">
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-		<layer id="2756" name="146091461374565" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="448409480" size="4" />
+		<layer id="2557" name="__module.model.mid_block.attentions.0.norm/aten::group_norm/Constant_1921" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23744" size="12" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="I32">
+					<dim>3</dim>
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 		</layer>
-		<layer id="2757" name="146101461479089" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="448409476" size="4" />
+		<layer id="2558" name="__module.model.mid_block.attentions.0.norm/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
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+				<port id="1" precision="I32">
+					<dim>3</dim>
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+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="2758" name="146111461579584" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="448409480" size="4" />
+		<layer id="2559" name="__module.model.mid_block.attentions.0.norm/aten::group_norm/Constant_1922" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23756" size="4" />
 			<output>
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+				<port id="0" precision="I32">
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="2759" name="/up_blocks.0/resnets.2/conv_shortcut/Conv/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2560" name="__module.model.mid_block.attentions.0.norm/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
+					<dim>32</dim>
 					<dim>2560</dim>
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-				<port id="3" precision="FP32" />
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+				<port id="1" precision="I32">
+					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="5" precision="FP32">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
+					<dim>32</dim>
 					<dim>2560</dim>
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 		</layer>
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-			<output>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
-					<dim>2560</dim>
-					<dim>1</dim>
+		<layer id="2561" name="__module.model.mid_block.attentions.0.norm/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
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+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
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 			</output>
 		</layer>
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-			<data destination_type="f32" />
+		<layer id="2562" name="__module.model.mid_block.attentions.0.norm/aten::group_norm/Reshape_1923" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
-					<dim>2560</dim>
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+					<dim>32</dim>
+					<dim>2560</dim>
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+				<port id="1" precision="I32">
+					<dim>4</dim>
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 			<output>
-				<port id="1" precision="FP32">
-					<dim>1280</dim>
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+				<port id="2" precision="FP32">
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+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
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 		</layer>
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+		<layer id="2563" name="Constant_211005_compressed" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="FP32">
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 					<dim>1</dim>
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="2564" name="Constant_211005" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 			<input>
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 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP32">
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 					<dim>1280</dim>
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 					<dim>1</dim>
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 		</layer>
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-			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+		<layer id="2565" name="__module.model.mid_block.attentions.0.norm/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
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+					<dim>1280</dim>
 					<dim>8</dim>
 					<dim>8</dim>
 				</port>
 				<port id="1" precision="FP32">
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 					<dim>1</dim>
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@@ -39417,10 +38498,10 @@
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 			</output>
 		</layer>
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+		<layer id="2566" name="Constant_211006_compressed" type="Const" version="opset1">
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 					<dim>1280</dim>
 					<dim>1</dim>
@@ -39428,16 +38509,13 @@
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 			</output>
 		</layer>
-		<layer id="2766" name="/up_blocks.0/resnets.2/conv_shortcut/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2567" name="Constant_211006" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 					<dim>1280</dim>
 					<dim>1</dim>
@@ -39445,1727 +38523,17173 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/conv_shortcut/Conv_output_0">
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 					<dim>1</dim>
 					<dim>1280</dim>
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 		</layer>
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+		<layer id="3671" name="Constant_211072" type="Convert" version="opset1">
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 		</layer>
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@@ -41173,131 +55697,106 @@
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 		</layer>
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+		<layer id="3673" name="__module.model.up_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::baddbmm/Multiply_2781" type="MatMul" version="opset1">
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 		</layer>
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@@ -41306,909 +55805,746 @@
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 		</layer>
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@@ -42393,282 +56695,217 @@
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@@ -42676,15 +56913,7 @@
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@@ -42705,923 +56934,881 @@
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 		</layer>
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
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 					<dim>256</dim>
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 			<output>
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+				<port id="2" precision="FP32" names="2528">
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 					<dim>256</dim>
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@@ -43629,782 +57816,765 @@
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 				<port id="0" precision="I64">
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+				<port id="2" precision="FP32" names="2561,input.375">
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+					<dim>16</dim>
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 		</layer>
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-		<layer id="3170" name="254622546675966" type="Const" version="opset1">
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+		<layer id="3928" name="__module.model.up_blocks.1.resnets.2.norm2/aten::group_norm/Constant_2961" type="Const" version="opset1">
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+					<dim>3</dim>
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 		</layer>
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-			<data element_type="f32" shape="" offset="594892836" size="4" />
+		<layer id="3929" name="__module.model.up_blocks.1.resnets.2.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
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+				<port id="0" precision="FP32">
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+					<dim>1280</dim>
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+					<dim>16</dim>
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+				<port id="1" precision="I32">
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+				<port id="2" precision="FP32">
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+					<dim>32</dim>
+					<dim>10240</dim>
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 		</layer>
-		<layer id="3172" name="254642546877379" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="594892840" size="4" />
+		<layer id="3930" name="__module.model.up_blocks.1.resnets.2.norm2/aten::group_norm/Constant_2962" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23756" size="4" />
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+				<port id="0" precision="I32">
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="3931" name="__module.model.up_blocks.1.resnets.2.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
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-					<dim>1280</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
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+				<port id="1" precision="I32">
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 			</input>
 			<output>
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+				<port id="2" precision="FP32">
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+					<dim>32</dim>
+					<dim>10240</dim>
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 		</layer>
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-			<data element_type="i64" shape="4" offset="107795852" size="32" />
+		<layer id="3932" name="__module.model.up_blocks.1.resnets.2.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
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+			</input>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/Constant_1_output_0">
+				<port id="1" precision="I32">
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 			</output>
 		</layer>
-		<layer id="3175" name="/up_blocks.1/attentions.0/Reshape_1" type="Reshape" version="opset1">
+		<layer id="3933" name="__module.model.up_blocks.1.resnets.2.norm2/aten::group_norm/Reshape_2963" type="Reshape" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
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-					<dim>1280</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
+					<dim>1280</dim>
 					<dim>16</dim>
 					<dim>16</dim>
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+			</output>
+		</layer>
+		<layer id="3934" name="Constant_211086_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="1410220288" size="2560" />
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+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3176" name="Constant_106545576" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="6964244" size="32" />
+		<layer id="3935" name="Constant_211086" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+				<port id="0" precision="FP16">
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+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3177" name="/up_blocks.1/attentions.0/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3936" name="__module.model.up_blocks.1.resnets.2.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
+					<dim>1280</dim>
 					<dim>16</dim>
 					<dim>16</dim>
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 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/Transpose_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -45339,22 +59709,25 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3178" name="up_blocks.1.attentions.0.proj_out.weight557843088/quantized5283870932" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 1, 1" offset="594892844" size="1638400" />
+		<layer id="3937" name="Constant_211087_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="1410222848" size="2560" />
 			<output>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3179" name="up_blocks.1.attentions.0.proj_out.weight557843088/quantized/to_f32" type="Convert" version="opset1">
+		<layer id="3938" name="Constant_211087" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -45362,51 +59735,91 @@
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1280</dim>
+					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="1280, 1, 1, 1" offset="596531244" size="5120" />
-			<output>
+		<layer id="3939" name="__module.model.up_blocks.1.resnets.2.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
 				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2562,input.377">
 					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3181" name="/up_blocks.1/attentions.0/proj_out/Conv/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3940" name="__module.model.conv_act/aten::silu/Swish_2965" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1280</dim>
-					<dim>1280</dim>
 					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="2563,input.379">
 					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="3941" name="self.model.up_blocks.1.resnets.2.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280, 3, 3" offset="1410225408" size="29491200" />
+			<output>
+				<port id="0" precision="FP16" names="305,self.model.up_blocks.1.resnets.2.conv2.weight">
 					<dim>1280</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3942" name="self.model.up_blocks.1.resnets.2.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>1280</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3182" name="/up_blocks.1/attentions.0/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+		<layer id="3943" name="__module.model.up_blocks.1.resnets.2.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -45417,8 +59830,8 @@
 				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>1280</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
@@ -45430,10 +59843,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3183" name="Reshape_10676558077385" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="596536364" size="5120" />
+		<layer id="3944" name="__module.model.up_blocks.1.resnets.2.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="1439716608" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -45441,16 +59854,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3184" name="/up_blocks.1/attentions.0/proj_out/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3945" name="__module.model.up_blocks.1.resnets.2.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
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-					<dim>1280</dim>
-					<dim>16</dim>
-					<dim>16</dim>
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-				<port id="1" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -45458,15 +59868,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/proj_out/Conv_output_0">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
-					<dim>16</dim>
-					<dim>16</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3185" name="/up_blocks.1/attentions.0/Add" type="Add" version="opset1">
+		<layer id="3946" name="__module.model.up_blocks.1.resnets.2.conv2/aten::_convolution/Add_2969" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45478,12 +59888,12 @@
 				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
-					<dim>16</dim>
-					<dim>16</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/Add_output_0">
+				<port id="2" precision="FP32" names="2564,hidden_states.347">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -45491,8 +59901,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3186" name="/up_blocks.1/Concat_1" type="Concat" version="opset1">
-			<data axis="1" />
+		<layer id="3947" name="__module.model.up_blocks.1.resnets.2/aten::add/Add_2976" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -45508,141 +59918,97 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/Concat_1_output_0">
+				<port id="2" precision="FP32" names="2566,2567,hidden_states.349">
 					<dim>1</dim>
-					<dim>2560</dim>
+					<dim>1280</dim>
 					<dim>16</dim>
 					<dim>16</dim>
 				</port>
 			</output>
 		</layer>
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-		<layer id="3188" name="180491805379839" type="Const" version="opset1">
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-		<layer id="3189" name="180501805474961" type="Const" version="opset1">
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-		<layer id="3190" name="180511805578399" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="596541488" size="4" />
+		<layer id="3948" name="__module.model.up_blocks.1.attentions.2.norm/aten::group_norm/Constant_2985" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23744" size="12" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3191" name="/up_blocks.1/resnets.1/conv_shortcut/Conv/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="3949" name="__module.model.up_blocks.1.attentions.2.norm/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
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+					<dim>1280</dim>
 					<dim>16</dim>
 					<dim>16</dim>
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-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
+				<port id="1" precision="I32">
+					<dim>3</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32">
 					<dim>1</dim>
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-					<dim>16</dim>
-					<dim>16</dim>
+					<dim>32</dim>
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 		</layer>
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+		<layer id="3953" name="__module.model.up_blocks.1.attentions.2.norm/aten::group_norm/Reshape_2987" type="Reshape" version="opset1">
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@@ -45654,10 +60020,10 @@
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 		</layer>
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@@ -45665,16 +60031,13 @@
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 		</layer>
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+		<layer id="3955" name="Constant_211088" type="Convert" version="opset1">
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@@ -45682,1553 +60045,1473 @@
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 		</layer>
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@@ -47242,240 +61525,203 @@
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 					<dim>1280</dim>
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@@ -47483,15 +61729,7 @@
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@@ -47499,12 +61737,12 @@
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@@ -47512,119 +61750,85 @@
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+		<layer id="4080" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::reshape/Reshape_3057" type="Reshape" version="opset1">
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 				<port id="0" precision="FP32">
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-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
+				<port id="1" precision="I32">
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 			</input>
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 					<dim>256</dim>
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 		</layer>
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-			<data transpose_a="false" transpose_b="true" />
+		<layer id="4081" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::bmm/MatMul" type="MatMul" version="opset1">
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 					<dim>8</dim>
 					<dim>256</dim>
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@@ -47633,234 +61837,203 @@
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 			<output>
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 					<dim>256</dim>
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 		</layer>
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-			<data axis="-1" />
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-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>256</dim>
+				<port id="1" precision="I32">
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 			</output>
 		</layer>
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+			<data element_type="i32" shape="" offset="1868900" size="4" />
 			<output>
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-					<dim>1280</dim>
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 			</output>
 		</layer>
-		<layer id="3334" name="Constant_73640567243128/quantized/to_f32" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="4084" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::size/Gather_3083" type="Gather" version="opset8">
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 			<input>
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-					<dim>1280</dim>
-					<dim>1280</dim>
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 				</port>
+				<port id="1" precision="I32" />
+				<port id="2" precision="I32" />
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 			<output>
-				<port id="1" precision="FP32">
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-					<dim>1280</dim>
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+				<port id="3" precision="I32" names="2637" />
 			</output>
 		</layer>
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-			<data element_type="f32" shape="1280, 1" offset="652364900" size="5120" />
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+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
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 			<output>
-				<port id="0" precision="FP32">
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-					<dim>1</dim>
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+				<port id="2" precision="I32" />
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="4086" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::floor_divide/Floor_3091" type="Floor" version="opset1">
 			<input>
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-				<port id="1" precision="FP32">
-					<dim>1280</dim>
-					<dim>1</dim>
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 			<output>
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-					<dim>1280</dim>
+				<port id="1" precision="I32" names="2642,2643" />
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+		</layer>
+		<layer id="4087" name="Constant_102298" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9212024" size="8" />
+			<output>
+				<port id="0" precision="I64">
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 			</output>
 		</layer>
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-			<data transpose_a="false" transpose_b="true" />
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 			<input>
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 		</layer>
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 		</layer>
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-				<port id="1" precision="I64">
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-				</port>
-			</input>
+		<layer id="4090" name="Constant_174243" type="Const" version="opset1">
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 					<dim>1</dim>
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 		</layer>
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-			<data element_type="i64" shape="4" offset="4692680" size="32" />
+		<layer id="4091" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::size/Constant_3085" type="Const" version="opset1">
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 			<output>
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 		</layer>
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+		<layer id="4092" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::size/Gather_3086" type="Gather" version="opset8">
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 			<output>
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 					<dim>1</dim>
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 		</layer>
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-				<port id="1" precision="I64">
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 			<output>
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-					<dim>256</dim>
-					<dim>160</dim>
+				<port id="3" precision="I32" names="2640" />
+			</output>
+		</layer>
+		<layer id="4095" name="Constant_102297" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9212024" size="8" />
+			<output>
+				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="4096" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn1/prim::ListConstruct_3095/Reshape_2" type="Reshape" version="opset1">
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-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
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 			</input>
 			<output>
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-					<dim>256</dim>
-					<dim>160</dim>
+				<port id="2" precision="I32">
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 			</output>
 		</layer>
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+			<data axis="0" />
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+				<port id="0" precision="I32">
+					<dim>1</dim>
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+					<dim>1</dim>
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+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I32">
+					<dim>1</dim>
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+			</input>
 			<output>
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+				<port id="4" precision="I32" names="2644">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="true" />
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>8</dim>
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
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 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_6_output_0">
+				<port id="2" precision="FP32" names="2645,tensor.417">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
@@ -47868,15 +62041,7 @@
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 			</output>
 		</layer>
-		<layer id="3347" name="Constant_113395683" type="Const" version="opset1">
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-		<layer id="3348" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_4" type="Transpose" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
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@@ -47884,12 +62049,12 @@
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
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 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="2646">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>8</dim>
@@ -47897,125 +62062,94 @@
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 		</layer>
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+		<layer id="4100" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::mul/Multiply_3098" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
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 			<output>
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 		</layer>
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+		<layer id="4101" name="Constant_102300" type="Const" version="opset1">
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 			<output>
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 					<dim>1</dim>
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+		<layer id="4105" name="self.model.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_out.0.weight_compressed" type="Const" version="opset1">
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 			<data destination_type="f32" />
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@@ -48027,78 +62161,80 @@
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+		<layer id="4107" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul_3104" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
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+		<layer id="4108" name="Constant_211094_compressed" type="Const" version="opset1">
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-				<port id="1" precision="FP32">
-					<dim>1280</dim>
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+		</layer>
+		<layer id="4109" name="Constant_211094" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+				<port id="1" precision="FP32">
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+		<layer id="4111" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
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@@ -48113,22 +62249,22 @@
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+		<layer id="4112" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/Constant" type="Const" version="opset1">
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+		<layer id="4113" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
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@@ -48136,29 +62272,49 @@
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+		<layer id="4114" name="Constant_211095_compressed" type="Const" version="opset1">
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+					<dim>1</dim>
+					<dim>1280</dim>
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+		</layer>
+		<layer id="4115" name="Constant_211095" type="Convert" version="opset1">
+			<data destination_type="f32" />
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@@ -48173,24 +62329,44 @@
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 			<output>
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+		<layer id="4117" name="Constant_211096_compressed" type="Const" version="opset1">
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+					<dim>1</dim>
+					<dim>1280</dim>
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+		</layer>
+		<layer id="4118" name="Constant_211096" type="Convert" version="opset1">
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-		<layer id="3370" name="/up_blocks.1/attentions.1/transformer_blocks.0/norm2/Add_1" type="Add" version="opset1">
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@@ -48205,25 +62381,42 @@
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 			<output>
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+		<layer id="4120" name="self.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_q.weight_compressed" type="Const" version="opset1">
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 			<output>
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-			<data auto_broadcast="numpy" />
+		<layer id="4121" name="self.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_q.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+					<dim>1280</dim>
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+		<layer id="4122" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_q/aten::linear/MatMul_3105" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
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@@ -48231,204 +62424,208 @@
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 				</port>
 				<port id="1" precision="FP32">
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 			<output>
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+					<dim>1280</dim>
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+		<layer id="4123" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::size/ShapeOf" type="ShapeOf" version="opset3">
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 					<dim>256</dim>
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-		<layer id="3373" name="143081431270947" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
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 					<dim>256</dim>
 					<dim>1280</dim>
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 			<output>
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+				<port id="2" precision="FP32" names="2666,tensor.421">
 					<dim>1</dim>
 					<dim>256</dim>
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@@ -48436,15 +62633,7 @@
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@@ -48452,12 +62641,12 @@
 					<dim>8</dim>
 					<dim>160</dim>
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 			<output>
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+				<port id="2" precision="FP32" names="2667,tensor.423">
 					<dim>1</dim>
 					<dim>8</dim>
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@@ -48465,16 +62654,59 @@
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 		</layer>
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+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
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+			<output>
+				<port id="2" precision="I32" names="2668,2669" />
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+		<layer id="4142" name="Constant_102305" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9212024" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
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+		</layer>
+		<layer id="4143" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2/prim::ListConstruct_3118/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
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+				<port id="0" precision="I32" />
+				<port id="1" precision="I64">
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+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="4144" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2/prim::ListConstruct_3118/Concat" type="Concat" version="opset1">
+			<data axis="0" />
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+				<port id="0" precision="I32">
+					<dim>1</dim>
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+				<port id="1" precision="I32">
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+				<port id="2" precision="I32">
+					<dim>1</dim>
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 			<output>
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+				<port id="3" precision="I32" names="2670">
 					<dim>3</dim>
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 		</layer>
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -48482,71 +62714,92 @@
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
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 					<dim>3</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="2671,query.39">
 					<dim>8</dim>
 					<dim>256</dim>
 					<dim>160</dim>
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 		</layer>
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+		<layer id="4146" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::size/ShapeOf_3169" type="ShapeOf" version="opset3">
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+				<port id="0" precision="FP32">
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+					<dim>256</dim>
+					<dim>160</dim>
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 			<output>
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-					<dim>1280</dim>
-					<dim>768</dim>
+				<port id="1" precision="I32">
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 			</output>
 		</layer>
-		<layer id="3395" name="Constant_73662570543143/quantized/to_f32" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="4147" name="Constant_174755" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="9212052" size="8" />
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+					<dim>2</dim>
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+		</layer>
+		<layer id="4148" name="Constant_174756" type="Const" version="opset1">
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+				<port id="0" precision="I64" />
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+		<layer id="4149" name="Gather_174757" type="Gather" version="opset8">
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+				<port id="1" precision="I32">
+					<dim>2</dim>
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 			<output>
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-					<dim>768</dim>
+				<port id="3" precision="I32">
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 		</layer>
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 			<output>
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 					<dim>1280</dim>
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 		</layer>
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+		<layer id="4151" name="self.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_k.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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 			<input>
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 					<dim>768</dim>
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 			<output>
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 		</layer>
-		<layer id="3398" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="4152" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_k/aten::linear/MatMul_3106" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48560,35 +62813,35 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="2656,tensor.425">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3399" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_2570776959" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="85416236" size="32" />
+		<layer id="4153" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2/prim::ListConstruct_3134/Concat" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="169792684" size="16" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_2_output_0">
+				<port id="0" precision="I32" names="2679">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3400" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="4154" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::reshape/Reshape_3135" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="2680,tensor.427">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -48596,15 +62849,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3401" name="Constant_113905709" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4692680" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3402" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+		<layer id="4155" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::permute/Transpose_3136" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -48612,12 +62857,12 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="2681,tensor.429">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
@@ -48625,16 +62870,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3403" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_3571175210" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="85416268" size="24" />
+		<layer id="4156" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2/prim::ListConstruct_3141/Concat" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="169792700" size="12" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_3_output_0">
+				<port id="0" precision="I32" names="2684">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3404" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="4157" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::reshape/Reshape_3142" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -48642,35 +62887,133 @@
 					<dim>77</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="2685,key.39">
 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>160</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3405" name="Constant_75122571377277" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1" offset="79476968" size="4" />
-			<output>
+		<layer id="4158" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::size/ShapeOf_3172" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
 				<port id="0" precision="FP32">
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4159" name="Constant_174263" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="1868896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4160" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::size/Constant_3173" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="1868900" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="4161" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::size/Gather_3174" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I32" names="2702">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4162" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2/prim::ListConstruct_3177/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32" names="2703">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4163" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::empty/Broadcast" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2704,baddbmm_input.39">
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4164" name="Constant_211097_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1" offset="1461366532" size="2" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4165" name="Constant_211097" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3406" name="Multiply_74261" type="Multiply" version="opset1">
+		<layer id="4166" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::baddbmm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>8</dim>
+					<dim>256</dim>
 					<dim>77</dim>
-					<dim>160</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
@@ -48681,58 +63024,92 @@
 			<output>
 				<port id="2" precision="FP32">
 					<dim>8</dim>
+					<dim>256</dim>
 					<dim>77</dim>
-					<dim>160</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3407" name="160981610276359" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="656665724" size="4" />
+		<layer id="4167" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="9416862" size="12" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3408" name="160991610375852" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="656665728" size="4" />
+		<layer id="4168" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="2" precision="FP32" names="2705">
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3409" name="161001610471850" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="656665724" size="4" />
+		<layer id="4169" name="Constant_211098_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1" offset="1461366534" size="2" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3410" name="161011610574922" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="656665728" size="4" />
+		<layer id="4170" name="Constant_211098" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3411" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul/fq_input_1" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="4171" name="Multiply_209079" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>8</dim>
-					<dim>77</dim>
 					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
+				<port id="2" precision="FP32">
 					<dim>8</dim>
-					<dim>77</dim>
 					<dim>160</dim>
+					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3412" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
+		<layer id="4172" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::baddbmm/Multiply_3188" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>8</dim>
@@ -48741,19 +63118,41 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>8</dim>
-					<dim>77</dim>
 					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4173" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::baddbmm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul_output_0">
+				<port id="2" precision="FP32" names="2706,attention_scores.39">
 					<dim>8</dim>
 					<dim>256</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3413" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
+		<layer id="4174" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::softmax/Softmax" type="SoftMax" version="opset8">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48763,26 +63162,29 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Softmax_output_0">
+				<port id="1" precision="FP32" names="2707,2708,attention_probs.77,attention_probs.79">
 					<dim>8</dim>
 					<dim>256</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3414" name="Constant_73669571743148/quantized4944876839" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 768" offset="656665732" size="983040" />
+		<layer id="4175" name="self.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 768" offset="1461366536" size="1966080" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP16" names="287,self.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_v.weight">
 					<dim>1280</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3415" name="Constant_73669571743148/quantized/to_f32" type="Convert" version="opset1">
+		<layer id="4176" name="self.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>768</dim>
 				</port>
@@ -48794,186 +63196,318 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3416" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/to_v/MatMul/fq_weights_1/scale4945678663" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1" offset="657648772" size="5120" />
-			<output>
+		<layer id="4177" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_v/aten::linear/MatMul_3107" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
 				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2657,tensor.431">
 					<dim>1</dim>
+					<dim>77</dim>
+					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3417" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/to_v/MatMul/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4178" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn2/prim::ListConstruct_3157/Concat" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="169792684" size="16" />
+			<output>
+				<port id="0" precision="I32" names="2693">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
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 		</layer>
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 					<dim>8</dim>
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
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 			<output>
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 					<dim>8</dim>
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@@ -48981,15 +63515,7 @@
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@@ -48997,12 +63523,12 @@
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 					<dim>160</dim>
 				</port>
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 					<dim>1</dim>
 					<dim>256</dim>
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@@ -49010,125 +63536,94 @@
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 		</layer>
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@@ -49318,103 +63803,81 @@
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+		</layer>
+		<layer id="4226" name="Constant_211102" type="Convert" version="opset1">
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@@ -49531,336 +63972,186 @@
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+		<layer id="4229" name="Constant_37802" type="Const" version="opset1">
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+				<port id="0" precision="I32">
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@@ -49869,76 +64160,56 @@
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+					<dim>5120</dim>
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 		</layer>
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 			<data destination_type="f32" />
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@@ -49950,78 +64221,80 @@
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+		<layer id="4246" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.2/aten::linear/MatMul_3219" type="MatMul" version="opset1">
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+		<layer id="4247" name="Constant_211103_compressed" type="Const" version="opset1">
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+		</layer>
+		<layer id="4248" name="Constant_211103" type="Convert" version="opset1">
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 		</layer>
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 				<port id="0" precision="FP32">
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 		</layer>
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+		<layer id="4250" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0/aten::add/Add_3222" type="Add" version="opset1">
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@@ -50036,80 +64309,73 @@
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2735,hidden_states.365">
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+		<layer id="4251" name="__module.model.up_blocks.1.attentions.2/prim::ListConstruct_3225/Reshape_0" type="Const" version="opset1">
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+		<layer id="4252" name="__module.model.up_blocks.1.attentions.2/prim::ListConstruct_3225/Reshape_1" type="Const" version="opset1">
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 		</layer>
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+		<layer id="4253" name="__module.model.up_blocks.1.attentions.2/prim::ListConstruct_3225/Reshape_2" type="Const" version="opset1">
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+		<layer id="4254" name="__module.model.up_blocks.1.attentions.2/prim::ListConstruct_3225/Concat" type="Concat" version="opset1">
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 		</layer>
-		<layer id="3512" name="/up_blocks.1/attentions.1/Reshape_1" type="Reshape" version="opset1">
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+		<layer id="4255" name="__module.model.up_blocks.1.attentions.2/aten::reshape/Reshape_3226" type="Reshape" version="opset1">
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 					<dim>256</dim>
 					<dim>1280</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2737">
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@@ -50117,15 +64383,7 @@
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@@ -50133,12 +64391,12 @@
 					<dim>16</dim>
 					<dim>1280</dim>
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@@ -50146,10 +64404,10 @@
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@@ -50157,10 +64415,13 @@
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 		</layer>
-		<layer id="3516" name="up_blocks.1.attentions.1.proj_out.weight578043178/quantized/to_f32" type="Convert" version="opset1">
+		<layer id="4258" name="self.model.up_blocks.1.attentions.2.proj_out.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 			<input>
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@@ -50176,71 +64437,57 @@
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+		<layer id="4259" name="__module.model.up_blocks.1.attentions.2.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
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 				<port id="0" precision="FP32">
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 					<dim>1</dim>
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 				<port id="1" precision="FP32">
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 					<dim>1</dim>
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 			<output>
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+					<dim>1</dim>
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+					<dim>16</dim>
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+		<layer id="4260" name="__module.model.up_blocks.1.attentions.2.proj_out/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
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 		</layer>
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+		<layer id="4261" name="__module.model.up_blocks.1.attentions.2.proj_out/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
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 					<dim>1280</dim>
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@@ -50248,7 +64495,7 @@
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 			</output>
 		</layer>
-		<layer id="3521" name="/up_blocks.1/attentions.1/proj_out/Conv" type="Add" version="opset1">
+		<layer id="4262" name="__module.model.up_blocks.1.attentions.2.proj_out/aten::_convolution/Add_3231" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -50265,7 +64512,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/proj_out/Conv_output_0">
+				<port id="2" precision="FP32" names="2740,hidden_states.369">
 					<dim>1</dim>
 					<dim>1280</dim>
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@@ -50273,7 +64520,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3522" name="/up_blocks.1/attentions.1/Add" type="Add" version="opset1">
+		<layer id="4263" name="__module.model.up_blocks.1.attentions.2/aten::add/Add" type="Add" version="opset1">
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 			<input>
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@@ -50290,7 +64537,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/Add_output_0">
+				<port id="2" precision="FP32" names="2741,hidden_states.371">
 					<dim>1</dim>
 					<dim>1280</dim>
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@@ -50298,8 +64545,24 @@
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 			</output>
 		</layer>
-		<layer id="3523" name="/up_blocks.1/Concat_2" type="Concat" version="opset1">
-			<data axis="1" />
+		<layer id="4264" name="__module.model.up_blocks.1.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
+			<data element_type="f32" shape="2" offset="992579296" size="8" />
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+				<port id="0" precision="FP32">
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+		</layer>
+		<layer id="4265" name="Constant_12546" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="992579304" size="8" />
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+				<port id="0" precision="I32">
+					<dim>2</dim>
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+		</layer>
+		<layer id="4266" name="__module.model.up_blocks.1.upsamplers.0/aten::upsample_nearest2d/Interpolate" type="Interpolate" version="opset11">
+			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
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@@ -50308,145 +64571,206 @@
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-					<dim>640</dim>
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+					<dim>2</dim>
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+				<port id="2" precision="I32">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/Concat_2_output_0">
+				<port id="3" precision="FP32" names="2742,hidden_states.373">
 					<dim>1</dim>
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 		</layer>
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-		<layer id="3526" name="163101631471127" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="680693924" size="4" />
+		<layer id="4267" name="self.model.up_blocks.1.upsamplers.0.conv.weight_compressed" type="Const" version="opset1">
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 			<output>
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+					<dim>1280</dim>
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+					<dim>3</dim>
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 		</layer>
-		<layer id="3527" name="163111631577148" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="680693928" size="4" />
+		<layer id="4268" name="self.model.up_blocks.1.upsamplers.0.conv.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+					<dim>1280</dim>
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+					<dim>3</dim>
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 		</layer>
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-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="4269" name="__module.model.up_blocks.1.upsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
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+					<dim>32</dim>
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 			<output>
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 		</layer>
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 		</layer>
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 			<data destination_type="f32" />
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 					<dim>1</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
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 					<dim>1</dim>
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+		<layer id="4272" name="__module.model.up_blocks.1.upsamplers.0.conv/aten::_convolution/Add_3236" type="Add" version="opset1">
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 				<port id="0" precision="FP32">
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 					<dim>1</dim>
 					<dim>1</dim>
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 					<dim>1</dim>
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+					<dim>32</dim>
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 		</layer>
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+		<layer id="4273" name="__module.model.up_blocks.2/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>1</dim>
 					<dim>1280</dim>
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+					<dim>32</dim>
+					<dim>32</dim>
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+				<port id="1" precision="FP32">
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+					<dim>32</dim>
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+				<port id="2" precision="FP32" names="2745,input.401">
 					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>32</dim>
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+		<layer id="4274" name="self.model.up_blocks.2.resnets.0.conv_shortcut.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1920, 1, 1" offset="1538734856" size="2457600" />
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+					<dim>1920</dim>
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 					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="4275" name="self.model.up_blocks.2.resnets.0.conv_shortcut.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
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 			<output>
-				<port id="2" precision="FP32">
-					<dim>1280</dim>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
 					<dim>1920</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="4276" name="__module.model.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
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 					<dim>1</dim>
 					<dim>1920</dim>
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 				<port id="1" precision="FP32">
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+					<dim>640</dim>
 					<dim>1920</dim>
 					<dim>1</dim>
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@@ -50455,146 +64779,190 @@
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 					<dim>1</dim>
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 		</layer>
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 			<output>
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 			</output>
 		</layer>
-		<layer id="3535" name="/up_blocks.1/resnets.2/conv_shortcut/Conv" type="Add" version="opset1">
+		<layer id="4278" name="__module.model.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+					<dim>1</dim>
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+		<layer id="4279" name="__module.model.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Add_3274" type="Add" version="opset1">
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 					<dim>1</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2758,input_tensor.17">
 					<dim>1</dim>
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 					<dim>3</dim>
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 		</layer>
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 		</layer>
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 		</layer>
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+		<layer id="4285" name="__module.model.up_blocks.2.resnets.0.norm1/aten::group_norm/Reshape_3242" type="Reshape" version="opset1">
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 		</layer>
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+		<layer id="4286" name="Constant_211104_compressed" type="Const" version="opset1">
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+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="4287" name="Constant_211104" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+				<port id="1" precision="FP32">
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 					<dim>1920</dim>
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@@ -50602,14 +64970,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3543" name="/up_blocks.1/resnets.2/norm1/Mul" type="Multiply" version="opset1">
+		<layer id="4288" name="__module.model.up_blocks.2.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
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@@ -50619,18 +64987,18 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.2/norm1/Mul_output_0">
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 		</layer>
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-			<data element_type="f32" shape="1, 1920, 1, 1" offset="683169452" size="7680" />
+		<layer id="4289" name="Constant_211105_compressed" type="Const" version="opset1">
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 					<dim>1920</dim>
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@@ -50638,16 +65006,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3545" name="/up_blocks.1/resnets.2/norm1/Add" type="Add" version="opset1">
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+		<layer id="4290" name="Constant_211105" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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 					<dim>1920</dim>
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@@ -50655,95 +65020,76 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.2/norm1/Add_output_0">
+				<port id="1" precision="FP32">
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 					<dim>1920</dim>
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 		</layer>
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+		<layer id="4291" name="__module.model.up_blocks.2.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
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 					<dim>1</dim>
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+					<dim>32</dim>
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+				<port id="1" precision="FP32">
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+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.1/resnets.2/nonlinearity/Mul_output_0">
+				<port id="2" precision="FP32" names="2746,input.403">
 					<dim>1</dim>
 					<dim>1920</dim>
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 		</layer>
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-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="4292" name="__module.model.conv_act/aten::silu/Swish_3244" type="Swish" version="opset4">
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 			<output>
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+				<port id="1" precision="FP32" names="2747,hidden_states.377">
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+					<dim>32</dim>
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 		</layer>
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+		<layer id="4293" name="self.model.up_blocks.2.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1920, 3, 3" offset="1541201416" size="22118400" />
 			<output>
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-					<dim>1280</dim>
+				<port id="0" precision="FP16" names="271,self.model.up_blocks.2.resnets.0.conv1.weight">
+					<dim>640</dim>
 					<dim>1920</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3553" name="up_blocks.1.resnets.2.conv1.weight580143186/quantized/to_f32" type="Convert" version="opset1">
+		<layer id="4294" name="self.model.up_blocks.2.resnets.0.conv1.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 			<input>
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+				<port id="0" precision="FP16">
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 					<dim>1920</dim>
 					<dim>3</dim>
 					<dim>3</dim>
@@ -50751,5466 +65097,5225 @@
 			</input>
 			<output>
 				<port id="1" precision="FP32">
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+					<dim>640</dim>
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 					<dim>3</dim>
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 		</layer>
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+		<layer id="4295" name="__module.model.up_blocks.2.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
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 				<port id="0" precision="FP32">
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 					<dim>1</dim>
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+					<dim>32</dim>
+					<dim>32</dim>
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+				<port id="1" precision="FP32">
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+					<dim>1920</dim>
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+					<dim>3</dim>
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+					<dim>32</dim>
+					<dim>32</dim>
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+		<layer id="4296" name="__module.model.up_blocks.2.resnets.0.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
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+		<layer id="4297" name="__module.model.up_blocks.2.resnets.0.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
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-				<port id="1" precision="FP32">
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 		</layer>
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-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="4298" name="__module.model.up_blocks.2.resnets.0.conv1/aten::_convolution/Add_3248" type="Add" version="opset1">
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 			</input>
 			<output>
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+					<dim>32</dim>
+					<dim>32</dim>
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+		<layer id="4299" name="self.model.up_blocks.2.resnets.0.time_emb_proj.weight_compressed" type="Const" version="opset1">
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+		<layer id="4300" name="self.model.up_blocks.2.resnets.0.time_emb_proj.weight" type="Convert" version="opset1">
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 		</layer>
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
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 					<dim>32</dim>
 					<dim>32</dim>
+					<dim>640</dim>
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+				<port id="1" precision="I32">
+					<dim>4</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/norm2/Reshape_output_0">
+				<port id="2" precision="FP32" names="2931">
 					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
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 		</layer>
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-			<data element_type="i64" shape="1" offset="563232" size="8" />
+		<layer id="4645" name="self.model.up_blocks.2.attentions.0.proj_out.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640, 1, 1" offset="1589893904" size="819200" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP16" names="237,self.model.up_blocks.2.attentions.0.proj_out.weight">
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+					<dim>640</dim>
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 		</layer>
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-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="4646" name="self.model.up_blocks.2.attentions.0.proj_out.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
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+					<dim>640</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/norm2/InstanceNormalization_output_0">
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
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 		</layer>
-		<layer id="3935" name="/up_blocks.2/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="4647" name="__module.model.up_blocks.2.attentions.0.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
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@@ -56218,27 +70323,15 @@
 					<dim>32</dim>
 					<dim>32</dim>
 				</port>
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-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
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 					<dim>1</dim>
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-				<port id="1" precision="I64">
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 			</input>
 			<output>
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+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -56246,10 +70339,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3937" name="Constant_75150603274106" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 640, 1, 1" offset="784543028" size="2560" />
+		<layer id="4648" name="__module.model.up_blocks.2.attentions.0.proj_out/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="1590713104" size="1280" />
 			<output>
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 					<dim>640</dim>
 					<dim>1</dim>
@@ -56257,16 +70350,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3938" name="/up_blocks.2/resnets.0/norm2/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4649" name="__module.model.up_blocks.2.attentions.0.proj_out/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
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-					<dim>640</dim>
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-					<dim>32</dim>
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-				<port id="1" precision="FP32">
+				<port id="0" precision="FP16">
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 					<dim>640</dim>
 					<dim>1</dim>
@@ -56274,18 +70364,7 @@
 				</port>
 			</input>
 			<output>
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-					<dim>32</dim>
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-		<layer id="3939" name="Constant_75151603472570" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -56293,7 +70372,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3940" name="/up_blocks.2/resnets.0/norm2/Add" type="Add" version="opset1">
+		<layer id="4650" name="__module.model.up_blocks.2.attentions.0.proj_out/aten::_convolution/Add_3532" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56310,7 +70389,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/norm2/Add_output_0">
+				<port id="2" precision="FP32" names="2933,hidden_states.405">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -56318,7 +70397,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3941" name="/up_blocks.2/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="4651" name="__module.model.up_blocks.2.attentions.0/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -56326,9 +70406,15 @@
 					<dim>32</dim>
 					<dim>32</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.2/resnets.0/nonlinearity_1/Mul_output_0">
+				<port id="2" precision="FP32" names="2934,hidden_states.407">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -56336,32 +70422,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3942" name="158681587279017" type="Const" version="opset1">
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-		<layer id="3943" name="158691587378447" type="Const" version="opset1">
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-		<layer id="3944" name="158701587477631" type="Const" version="opset1">
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-		<layer id="3945" name="158711587573467" type="Const" version="opset1">
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-				<port id="0" precision="FP32" />
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-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="4652" name="__module.model.up_blocks.2/aten::cat/Concat_3536" type="Concat" version="opset1">
+			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -56369,100 +70431,69 @@
 					<dim>32</dim>
 					<dim>32</dim>
 				</port>
-				<port id="1" precision="FP32" />
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-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
 					<dim>32</dim>
 				</port>
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-				<port id="0" precision="I8">
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 			</input>
 			<output>
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-					<dim>640</dim>
-					<dim>640</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+				<port id="2" precision="FP32" names="2936,input.433">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>32</dim>
+					<dim>32</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3949" name="/up_blocks.2/resnets.0/conv2/Conv/WithoutBiases/fq_weights_1/scale5149679857" type="Const" version="opset1">
-			<data element_type="f32" shape="640, 1, 1, 1" offset="788234556" size="2560" />
+		<layer id="4653" name="self.model.up_blocks.2.resnets.1.conv_shortcut.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1280, 1, 1" offset="1590714384" size="1638400" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16" names="225,self.model.up_blocks.2.resnets.1.conv_shortcut.weight">
 					<dim>640</dim>
-					<dim>1</dim>
+					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3950" name="/up_blocks.2/resnets.0/conv2/Conv/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4654" name="self.model.up_blocks.2.resnets.1.conv_shortcut.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
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-					<dim>640</dim>
-					<dim>3</dim>
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
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+					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>640</dim>
+				<port id="1" precision="FP32">
 					<dim>640</dim>
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-					<dim>3</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3951" name="/up_blocks.2/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="4655" name="__module.model.up_blocks.2.resnets.1.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>640</dim>
+					<dim>1280</dim>
 					<dim>32</dim>
 					<dim>32</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>640</dim>
-					<dim>640</dim>
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-					<dim>3</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
@@ -56474,10 +70505,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3952" name="Reshape_13006603977466" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 640, 1, 1" offset="788237116" size="2560" />
+		<layer id="4656" name="__module.model.up_blocks.2.resnets.1.conv_shortcut/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="1592352784" size="1280" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -56485,16 +70516,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3953" name="/up_blocks.2/resnets.0/conv2/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4657" name="__module.model.up_blocks.2.resnets.1.conv_shortcut/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
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-					<dim>640</dim>
-					<dim>32</dim>
-					<dim>32</dim>
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-				<port id="1" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -56502,15 +70530,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/conv2/Conv_output_0">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>640</dim>
-					<dim>32</dim>
-					<dim>32</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3954" name="/up_blocks.2/resnets.0/Add_1" type="Add" version="opset1">
+		<layer id="4658" name="__module.model.up_blocks.2.resnets.1.conv_shortcut/aten::_convolution/Add_3573" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56522,12 +70550,12 @@
 				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>640</dim>
-					<dim>32</dim>
-					<dim>32</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/Add_1_output_0,/up_blocks.2/resnets.0/Div_output_0">
+				<port id="2" precision="FP32" names="2949,input_tensor.19">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -56535,299 +70563,281 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="3" offset="563208" size="24" />
+		<layer id="4659" name="__module.model.up_blocks.2.resnets.1.norm1/aten::group_norm/Constant_3539" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23744" size="12" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/norm/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3956" name="/up_blocks.2/attentions.0/norm/Reshape" type="Reshape" version="opset1">
+		<layer id="4660" name="__module.model.up_blocks.2.resnets.1.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>640</dim>
+					<dim>1280</dim>
 					<dim>32</dim>
 					<dim>32</dim>
 				</port>
-				<port id="1" precision="I64">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/norm/Reshape_output_0">
+				<port id="2" precision="FP32">
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 					<dim>32</dim>
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 		</layer>
-		<layer id="3957" name="Constant_13094604474439" type="Const" version="opset1">
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+		<layer id="4661" name="__module.model.up_blocks.2.resnets.1.norm1/aten::group_norm/Constant_3540" type="Const" version="opset1">
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+		<layer id="4666" name="Constant_211125" type="Convert" version="opset1">
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+		<layer id="4669" name="Constant_211126" type="Convert" version="opset1">
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+		<layer id="4671" name="__module.model.conv_act/aten::silu/Swish_3543" type="Swish" version="opset4">
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+		<layer id="4673" name="self.model.up_blocks.2.resnets.1.conv1.weight" type="Convert" version="opset1">
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+		<layer id="4674" name="__module.model.up_blocks.2.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
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 					<dim>32</dim>
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 				<port id="1" precision="FP32">
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@@ -56839,10 +70849,32 @@
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 		</layer>
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-			<data element_type="f32" shape="1, 640, 1, 1" offset="788656964" size="2560" />
+		<layer id="4675" name="__module.model.up_blocks.2.resnets.1.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="1607104784" size="1280" />
 			<output>
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+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+		</layer>
+		<layer id="4676" name="__module.model.up_blocks.2.resnets.1.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+			<output>
+				<port id="1" precision="FP32">
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 					<dim>640</dim>
 					<dim>1</dim>
@@ -56850,7 +70882,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3976" name="/up_blocks.2/attentions.0/proj_in/Conv" type="Add" version="opset1">
+		<layer id="4677" name="__module.model.up_blocks.2.resnets.1.conv1/aten::_convolution/Add_3547" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -56867,7 +70899,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/proj_in/Conv_output_0">
+				<port id="2" precision="FP32" names="2939,hidden_states.411">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -56875,1280 +70907,1115 @@
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 		</layer>
-		<layer id="3977" name="Constant_132456056" type="Const" version="opset1">
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+		<layer id="4678" name="self.model.up_blocks.2.resnets.1.time_emb_proj.weight_compressed" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="FP16" names="231,self.model.up_blocks.2.resnets.1.time_emb_proj.weight">
+					<dim>640</dim>
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 			</output>
 		</layer>
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+		<layer id="4679" name="self.model.up_blocks.2.resnets.1.time_emb_proj.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<port id="1" precision="FP32">
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 		</layer>
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-		<layer id="3980" name="/up_blocks.2/attentions.0/Reshape" type="Reshape" version="opset1">
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+		<layer id="4680" name="__module.model.up_blocks.2.resnets.1.time_emb_proj/aten::linear/MatMul_3548" type="MatMul" version="opset1">
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 			<output>
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+		<layer id="4681" name="Constant_211127_compressed" type="Const" version="opset1">
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@@ -58281,654 +72130,587 @@
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 		</layer>
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 					<dim>1024</dim>
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 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -58936,16 +72718,7 @@
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@@ -58953,434 +72726,389 @@
 					<dim>8</dim>
 					<dim>80</dim>
 				</port>
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+				<port id="1" precision="I32">
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+				<port id="2" precision="FP32" names="2992,tensor.495">
 					<dim>1</dim>
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 		</layer>
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+			<data auto_broadcast="numpy" />
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+				<port id="1" precision="I32" />
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 			<output>
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+				<port id="2" precision="I32" names="2993,2994" />
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+		<layer id="4801" name="Constant_102421" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9212024" size="8" />
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 		</layer>
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 			<output>
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 		</layer>
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 		</layer>
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+		<layer id="4823" name="self.model.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_v.weight" type="Convert" version="opset1">
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 					<dim>640</dim>
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 		</layer>
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+		<layer id="4824" name="__module.model.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_v/aten::linear/MatMul_3599" type="MatMul" version="opset1">
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@@ -59389,175 +73117,182 @@
 					<dim>640</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>5120</dim>
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 					<dim>640</dim>
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 					<dim>1</dim>
 					<dim>1024</dim>
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 		</layer>
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+		<layer id="4825" name="__module.model.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::size/ShapeOf_3635" type="ShapeOf" version="opset3">
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 					<dim>1</dim>
 					<dim>1024</dim>
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 		</layer>
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+		<layer id="4826" name="__module.model.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::size/Constant_3636" type="Const" version="opset1">
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+		<layer id="4830" name="Constant_174368" type="Const" version="opset1">
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+			<data element_type="i32" shape="" offset="1868900" size="4" />
+			<output>
+				<port id="0" precision="I32" />
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+		</layer>
+		<layer id="4835" name="__module.model.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::size/Gather_3643" type="Gather" version="opset8">
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+				<port id="3" precision="I32" names="3000" />
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+		<layer id="4836" name="__module.model.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::floor_divide/Divide_3644" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
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+				<port id="2" precision="I32" />
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 		</layer>
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+		<layer id="4837" name="__module.model.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::floor_divide/Floor_3645" type="Floor" version="opset1">
 			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="I32" names="3002,3003" />
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+		</layer>
+		<layer id="4838" name="Constant_102428" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9212024" size="8" />
+			<output>
 				<port id="0" precision="I64">
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+			</output>
+		</layer>
+		<layer id="4839" name="__module.model.up_blocks.2.attentions.1.transformer_blocks.0.attn1/prim::ListConstruct_3649/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="false" />
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+				<port id="0" precision="I32" />
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+				<port id="2" precision="I32">
 					<dim>1</dim>
 				</port>
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 		</layer>
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+		<layer id="4840" name="__module.model.up_blocks.2.attentions.1.transformer_blocks.0.attn1/prim::ListConstruct_3649/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
 				<port id="0" precision="I32">
 					<dim>1</dim>
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-				<port id="0" precision="I64">
-					<dim>3</dim>
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-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
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+				<port id="2" precision="I32">
 					<dim>1</dim>
 				</port>
 				<port id="3" precision="I32">
@@ -59565,2190 +73300,2042 @@
 				</port>
 			</input>
 			<output>
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-				<port id="0" precision="I64">
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+				<port id="4" precision="I32" names="3004">
+					<dim>4</dim>
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 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4841" name="__module.model.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::reshape/Reshape_3650" type="Reshape" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
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-					<dim>3</dim>
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-				<port id="2" precision="I64">
-					<dim>3</dim>
+					<dim>640</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3005,tensor.499">
 					<dim>1</dim>
 					<dim>1024</dim>
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-				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>8</dim>
+					<dim>80</dim>
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 		</layer>
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-			<output>
-				<port id="0" precision="I64">
+		<layer id="4842" name="__module.model.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::permute/Transpose_3651" type="Transpose" version="opset1">
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+				<port id="0" precision="FP32">
 					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I32">
+					<dim>4</dim>
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 			<output>
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+				<port id="2" precision="FP32" names="3006,tensor.501">
 					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
-		<layer id="4180" name="ScatterUpdate_66050" type="ScatterUpdate" version="opset3">
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 			<output>
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+				<port id="2" precision="I32" names="3007,3008" />
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 		</layer>
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@@ -64504,2600 +78028,2388 @@
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 				<port id="0" precision="FP32">
 					<dim>8</dim>
 					<dim>1024</dim>
 					<dim>80</dim>
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 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
@@ -67408,15 +80832,7 @@
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@@ -67424,12 +80840,12 @@
 					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
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 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -67437,125 +80853,94 @@
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+		<layer id="5348" name="__module.model.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::mul/Multiply_4105" type="Multiply" version="opset1">
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+		<layer id="5349" name="Constant_102538" type="Const" version="opset1">
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 		</layer>
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 				</port>
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 			<output>
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-					<dim>1024</dim>
-					<dim>640</dim>
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 		</layer>
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 					<dim>1</dim>
 					<dim>1024</dim>
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+					<dim>80</dim>
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 			</input>
 			<output>
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 					<dim>640</dim>
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+		<layer id="5353" name="self.model.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_out.0.weight_compressed" type="Const" version="opset1">
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 					<dim>640</dim>
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 		</layer>
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 			<data destination_type="f32" />
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 					<dim>640</dim>
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@@ -67567,78 +80952,80 @@
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+		<layer id="5363" name="Constant_211163" type="Convert" version="opset1">
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@@ -67890,1285 +81215,1419 @@
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@@ -69179,591 +82638,743 @@
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 		</layer>
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+		<layer id="5496" name="__module.model.up_blocks.3.attentions.0.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
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@@ -69771,1910 +83382,2083 @@
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+		<layer id="5498" name="__module.model.up_blocks.3.attentions.0.proj_in/aten::_convolution/Reshape" type="Convert" version="opset1">
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@@ -72142,15 +85827,7 @@
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@@ -72171,923 +85848,881 @@
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@@ -73885,764 +87503,759 @@
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-			<input>
-				<port id="0" precision="FP32">
+		<layer id="5824" name="self.model.up_blocks.3.resnets.1.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1280" offset="1699567528" size="819200" />
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+				<port id="0" precision="FP16" names="115,self.model.up_blocks.3.resnets.1.time_emb_proj.weight">
 					<dim>320</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="5825" name="self.model.up_blocks.3.resnets.1.time_emb_proj.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
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+			</rt_info>
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 					<dim>320</dim>
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 			</input>
 			<output>
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 					<dim>320</dim>
 					<dim>1280</dim>
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 		</layer>
-		<layer id="5234" name="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+		<layer id="5826" name="__module.model.up_blocks.3.resnets.1.time_emb_proj/aten::linear/MatMul_4447" type="MatMul" version="opset1">
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 					<dim>1</dim>
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 					<dim>1280</dim>
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@@ -74651,228 +88264,190 @@
 				</port>
 			</input>
 			<output>
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 					<dim>1</dim>
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-				<port id="0" precision="FP32">
-					<dim>1</dim>
+		<layer id="5827" name="Constant_211190_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320" offset="1700386728" size="640" />
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 					<dim>1</dim>
 					<dim>320</dim>
 				</port>
-				<port id="1" precision="FP32">
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+		</layer>
+		<layer id="5828" name="Constant_211190" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
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+				<port id="0" precision="FP16">
 					<dim>1</dim>
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 					<dim>320</dim>
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 					<dim>1</dim>
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 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="5829" name="__module.model.up_blocks.3.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/Add_2_output_0">
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 					<dim>1</dim>
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 					<dim>320</dim>
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 		</layer>
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-		<layer id="5238" name="259422594678540" type="Const" version="opset1">
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+		<layer id="5830" name="__module.model.up_blocks.3.resnets.1/aten::slice/Unsqueeze_4448" type="Const" version="opset1">
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+					<dim>1</dim>
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 		</layer>
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+		<layer id="5831" name="__module.model.up_blocks.3.resnets.1/aten::slice/Unsqueeze_4449" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="I64">
+					<dim>1</dim>
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 		</layer>
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-			<data element_type="f32" shape="" offset="850071816" size="4" />
+		<layer id="5832" name="__module.model.up_blocks.3.resnets.1/aten::slice/Unsqueeze_4450" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="1868896" size="4" />
 			<output>
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+				<port id="0" precision="I32">
+					<dim>1</dim>
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 		</layer>
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-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="5833" name="__module.model.up_blocks.3.resnets.1/aten::slice/Slice" type="StridedSlice" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
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+				<port id="3" precision="I32">
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 			</input>
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 					<dim>320</dim>
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+		<layer id="5834" name="Constant_191191" type="Const" version="opset1">
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+					<dim>2</dim>
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 		</layer>
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+		<layer id="5835" name="Constant_191194" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="1869240" size="16" />
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 		</layer>
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+		<layer id="5836" name="Constant_191197" type="Const" version="opset1">
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 			<output>
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 			</output>
 		</layer>
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+		<layer id="5837" name="__module.model.up_blocks.3.resnets.1/aten::slice/Slice_4456" type="StridedSlice" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
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 					<dim>320</dim>
 				</port>
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+					<dim>2</dim>
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+				<port id="2" precision="I64">
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+				<port id="3" precision="I32">
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 			</input>
 			<output>
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 					<dim>1</dim>
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+		<layer id="5838" name="__module.model.up_blocks.3.resnets.1/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
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-					<dim>320</dim>
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+				<port id="0" precision="FP32">
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 			<output>
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-					<dim>320</dim>
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 					<dim>1</dim>
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+		<layer id="5839" name="__module.model.up_blocks.3.resnets.1/aten::unsqueeze/Unsqueeze_4457" type="Unsqueeze" version="opset1">
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 				<port id="0" precision="FP32">
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 					<dim>320</dim>
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-					<dim>1</dim>
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+				<port id="1" precision="I32" />
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 			<output>
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+				<port id="2" precision="FP32" names="3519,temb.41">
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 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
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 		</layer>
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+		<layer id="5840" name="__module.model.up_blocks.3.resnets.1/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -74881,14 +88456,14 @@
 					<dim>64</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>320</dim>
+					<dim>1</dim>
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="3520,input.535">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -74896,19 +88471,16 @@
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 			</output>
 		</layer>
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+		<layer id="5841" name="__module.model.up_blocks.3.resnets.1.norm2/aten::group_norm/Constant_4460" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23744" size="12" />
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-					<dim>1</dim>
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+				<port id="0" precision="I32">
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 		</layer>
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+		<layer id="5842" name="__module.model.up_blocks.3.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -74916,49 +88488,48 @@
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
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-					<dim>320</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/proj_out/Conv_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
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-					<dim>64</dim>
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+					<dim>32</dim>
+					<dim>40960</dim>
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 		</layer>
-		<layer id="5253" name="/up_blocks.3/attentions.0/Add" type="Add" version="opset1">
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+		<layer id="5843" name="__module.model.up_blocks.3.resnets.1.norm2/aten::group_norm/Constant_4461" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23756" size="4" />
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+				<port id="0" precision="I32">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="5844" name="__module.model.up_blocks.3.resnets.1.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
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-					<dim>64</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
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 					<dim>1</dim>
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/Add_output_0">
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 					<dim>1</dim>
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+					<dim>32</dim>
+					<dim>40960</dim>
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 			</output>
 		</layer>
-		<layer id="5254" name="/up_blocks.3/Concat_1" type="Concat" version="opset1">
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+		<layer id="5845" name="__module.model.up_blocks.3.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -74966,164 +88537,118 @@
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
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-					<dim>640</dim>
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-					<dim>64</dim>
+				<port id="1" precision="I32">
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 		</layer>
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@@ -75156,317 +88681,306 @@
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+		<layer id="5871" name="Constant_211194" type="Convert" version="opset1">
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@@ -75489,7 +89025,7 @@
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 		</layer>
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@@ -75506,7 +89042,7 @@
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@@ -75514,1187 +89050,1382 @@
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 		</layer>
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+		<layer id="5874" name="self.model.up_blocks.3.attentions.1.proj_in.weight" type="Convert" version="opset1">
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 					<dim>4096</dim>
 					<dim>320</dim>
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@@ -76949,15 +90643,7 @@
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@@ -76965,12 +90651,12 @@
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 					<dim>40</dim>
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@@ -76978,119 +90664,85 @@
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+		<layer id="5990" name="Constant_102636" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
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+				<port id="1" precision="I32">
+					<dim>3</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3585,value.57">
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 					<dim>4096</dim>
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 		</layer>
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-			<data transpose_a="false" transpose_b="true" />
+		<layer id="5994" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::bmm/MatMul" type="MatMul" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>8</dim>
 					<dim>4096</dim>
-					<dim>40</dim>
+					<dim>4096</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>8</dim>
@@ -77099,234 +90751,203 @@
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 			<output>
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+				<port id="2" precision="FP32" names="3595,tensor.635">
 					<dim>8</dim>
 					<dim>4096</dim>
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 		</layer>
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-			<data axis="-1" />
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 				<port id="0" precision="FP32">
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-					<dim>4096</dim>
+				<port id="1" precision="I32">
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+		<layer id="5997" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::size/Gather_4582" type="Gather" version="opset8">
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 			<output>
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-					<dim>320</dim>
+				<port id="1" precision="I32" names="3601,3602" />
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+		<layer id="6000" name="Constant_102639" type="Const" version="opset1">
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-					<dim>40</dim>
+				<port id="3" precision="I32" names="3599" />
+			</output>
+		</layer>
+		<layer id="6008" name="Constant_102642" type="Const" version="opset1">
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 		</layer>
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+		<layer id="6009" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn1/prim::ListConstruct_4594/Reshape_2" type="Reshape" version="opset1">
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 		</layer>
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 					<dim>40</dim>
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+				<port id="2" precision="FP32" names="3604,tensor.637">
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@@ -77334,15 +90955,7 @@
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-		<layer id="5416" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Transpose_4" type="Transpose" version="opset1">
+		<layer id="6012" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::permute/Transpose_4596" type="Transpose" version="opset1">
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@@ -77350,12 +90963,12 @@
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 					<dim>40</dim>
 				</port>
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@@ -77363,125 +90976,94 @@
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-			<data element_type="i64" shape="3" offset="4585080" size="24" />
+		<layer id="6013" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::mul/Multiply_4597" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
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+				<port id="2" precision="I32" names="3606,3607" />
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-				<port id="1" precision="I64">
-					<dim>3</dim>
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-			</input>
+		<layer id="6014" name="Constant_102645" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9212024" size="8" />
 			<output>
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+		<layer id="6015" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn1/prim::ListConstruct_4601/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="false" />
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+				<port id="0" precision="I32" />
+				<port id="1" precision="I64">
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="6016" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn1/prim::ListConstruct_4601/Concat" type="Concat" version="opset1">
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 					<dim>1</dim>
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 			<output>
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-					<dim>1</dim>
-					<dim>4096</dim>
-					<dim>320</dim>
+				<port id="3" precision="I32" names="3608">
+					<dim>3</dim>
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 		</layer>
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-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="6017" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::reshape/Reshape_4602" type="Reshape" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
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+					<dim>40</dim>
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+				<port id="1" precision="I32">
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-				<port id="4" precision="FP32" />
 			</input>
 			<output>
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 					<dim>4096</dim>
 					<dim>320</dim>
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+		<layer id="6018" name="self.model.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="1703054892" size="204800" />
 			<output>
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 			</output>
 		</layer>
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+		<layer id="6019" name="self.model.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 			<input>
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@@ -77493,78 +91075,80 @@
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="6020" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul_4603" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
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+					<dim>1</dim>
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 				<port id="1" precision="FP32">
 					<dim>320</dim>
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 			<output>
 				<port id="2" precision="FP32">
-					<dim>320</dim>
+					<dim>1</dim>
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-			<input>
-				<port id="0" precision="FP32">
+		<layer id="6021" name="Constant_211199_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1703259692" size="640" />
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+				<port id="0" precision="FP16">
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 					<dim>1</dim>
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 					<dim>320</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>320</dim>
+			</output>
+		</layer>
+		<layer id="6022" name="Constant_211199" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>320</dim>
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
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 					<dim>320</dim>
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 		</layer>
-		<layer id="5431" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
+		<layer id="6023" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
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 					<dim>320</dim>
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+				<port id="2" precision="FP32" names="3610,3611,attn_output.57,input.543">
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 					<dim>4096</dim>
 					<dim>320</dim>
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 		</layer>
-		<layer id="5432" name="/up_blocks.3/attentions.1/transformer_blocks.0/Add" type="Add" version="opset1">
+		<layer id="6024" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -77579,22 +91163,22 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/Add_output_0">
+				<port id="2" precision="FP32" names="3612,input.545">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
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 		</layer>
-		<layer id="5433" name="Constant_17275692376689" type="Const" version="opset1">
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+		<layer id="6025" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="9005940" size="4" />
 			<output>
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 					<dim>1</dim>
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 		</layer>
-		<layer id="5434" name="/up_blocks.3/attentions.1/transformer_blocks.0/norm2/Div" type="MVN" version="opset6">
+		<layer id="6026" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -77602,29 +91186,49 @@
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/norm2/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
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-			<data element_type="f32" shape="1, 1, 320" offset="854101324" size="1280" />
+		<layer id="6027" name="Constant_211200_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1703260332" size="640" />
 			<output>
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+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6028" name="Constant_211200" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
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 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5436" name="/up_blocks.3/attentions.1/transformer_blocks.0/norm2/Mul" type="Multiply" version="opset1">
+		<layer id="6029" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Multiply" version="opset1">
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@@ -77639,24 +91243,44 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/norm2/Mul_output_0">
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 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
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-			<data element_type="f32" shape="1, 1, 320" offset="854102604" size="1280" />
+		<layer id="6030" name="Constant_211201_compressed" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6031" name="Constant_211201" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
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+					<dim>1</dim>
+					<dim>320</dim>
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+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5438" name="/up_blocks.3/attentions.1/transformer_blocks.0/norm2/Add_1" type="Add" version="opset1">
+		<layer id="6032" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -77671,25 +91295,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/norm2/Add_1_output_0">
+				<port id="2" precision="FP32" names="3613,input.547">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
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-			<data element_type="f32" shape="1, 1, 320" offset="854103884" size="1280" />
+		<layer id="6033" name="self.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_q.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="1703261612" size="204800" />
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-					<dim>1</dim>
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 					<dim>320</dim>
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 		</layer>
-		<layer id="5440" name="/up_blocks.3/attentions.1/transformer_blocks.0/norm2/Add_1/sq_mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="6034" name="self.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_q.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
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+					<dim>320</dim>
+					<dim>320</dim>
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+		<layer id="6035" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_q/aten::linear/MatMul_4604" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -77697,204 +91338,208 @@
 					<dim>320</dim>
 				</port>
 				<port id="1" precision="FP32">
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 			</input>
 			<output>
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 					<dim>320</dim>
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+		<layer id="6036" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::size/ShapeOf_4610" type="ShapeOf" version="opset3">
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 		</layer>
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 		</layer>
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 		</layer>
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+		<layer id="6047" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::floor_divide/Divide" type="Divide" version="opset1">
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 					<dim>4096</dim>
 					<dim>320</dim>
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 			<output>
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@@ -77902,15 +91547,7 @@
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@@ -77918,12 +91555,12 @@
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 					<dim>40</dim>
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 			<output>
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@@ -77931,16 +91568,59 @@
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+		<layer id="6054" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
+			</input>
+			<output>
+				<port id="2" precision="I32" names="3627,3628" />
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+		</layer>
+		<layer id="6055" name="Constant_102650" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9212024" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6056" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/prim::ListConstruct_4617/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I64">
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+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="6057" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/prim::ListConstruct_4617/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>1</dim>
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+				<port id="2" precision="I32">
+					<dim>1</dim>
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 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Constant_1_output_0">
+				<port id="3" precision="I32" names="3629">
 					<dim>3</dim>
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 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="6058" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::reshape/Reshape_4618" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -77948,71 +91628,92 @@
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
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 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3630,query.59">
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>40</dim>
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 		</layer>
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-			<data element_type="i8" shape="320, 768" offset="854208860" size="245760" />
+		<layer id="6059" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::size/ShapeOf_4665" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
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+			</input>
 			<output>
-				<port id="0" precision="I8">
-					<dim>320</dim>
-					<dim>768</dim>
+				<port id="1" precision="I32">
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5463" name="Constant_74118693743689/quantized/to_f32" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="6060" name="Constant_174805" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="9212052" size="8" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6061" name="Constant_174806" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1869264" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="6062" name="Gather_174807" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="I8">
-					<dim>320</dim>
-					<dim>768</dim>
+				<port id="0" precision="I32">
+					<dim>3</dim>
 				</port>
+				<port id="1" precision="I32">
+					<dim>2</dim>
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+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>320</dim>
-					<dim>768</dim>
+				<port id="3" precision="I32">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5464" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_k/MatMul/fq_weights_1/scale4702673248" type="Const" version="opset1">
-			<data element_type="f32" shape="320, 1" offset="854454620" size="1280" />
+		<layer id="6063" name="self.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 768" offset="1703466412" size="491520" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16" names="94,self.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k.weight">
 					<dim>320</dim>
-					<dim>1</dim>
+					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5465" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_k/MatMul/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="6064" name="self.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
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 					<dim>320</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>320</dim>
-					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>320</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5466" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="6065" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul_4605" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
@@ -78026,35 +91727,35 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="3615,tensor.645">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="5362764" size="32" />
+		<layer id="6066" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/prim::ListConstruct_4633/Concat" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="10524716" size="16" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Constant_2_output_0">
+				<port id="0" precision="I32" names="3638">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5468" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="6067" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::reshape/Reshape_4634" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>320</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="3639,tensor.647">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -78062,15 +91763,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5469" name="Constant_173146941" type="Const" version="opset1">
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-		</layer>
-		<layer id="5470" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+		<layer id="6068" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::permute/Transpose_4635" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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@@ -78078,12 +91771,12 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="3640,tensor.649">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
@@ -78091,16 +91784,16 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="3" offset="5362796" size="24" />
+		<layer id="6069" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/prim::ListConstruct_4640/Concat" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="10524732" size="12" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Constant_3_output_0">
+				<port id="0" precision="I32" names="3643">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5472" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="6070" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::reshape/Reshape_4641" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -78108,35 +91801,133 @@
 					<dim>77</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="3644,key.59">
 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1, 1" offset="4796416" size="4" />
-			<output>
+		<layer id="6071" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::size/ShapeOf_4671" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
 				<port id="0" precision="FP32">
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6072" name="Constant_174588" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="1868896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6073" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::size/Constant_4672" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="1868900" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="6074" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::size/Gather_4673" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I32" names="3661">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6075" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/prim::ListConstruct_4676/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32" names="3662">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6076" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::empty/Broadcast" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3663,baddbmm_input.59">
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6077" name="Constant_211202_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1" offset="1703957932" size="2" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6078" name="Constant_211202" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5474" name="Multiply_74285" type="Multiply" version="opset1">
+		<layer id="6079" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::baddbmm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>8</dim>
+					<dim>4096</dim>
 					<dim>77</dim>
-					<dim>40</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
@@ -78147,58 +91938,92 @@
 			<output>
 				<port id="2" precision="FP32">
 					<dim>8</dim>
+					<dim>4096</dim>
 					<dim>77</dim>
-					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5475" name="189081891274919" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="854455900" size="4" />
+		<layer id="6080" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="9416862" size="12" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5476" name="189091891378354" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="854455904" size="4" />
+		<layer id="6081" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
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+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="2" precision="FP32" names="3664">
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
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 			</output>
 		</layer>
-		<layer id="5477" name="189101891472666" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="854455900" size="4" />
+		<layer id="6082" name="Constant_211203_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1" offset="1703957934" size="2" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="5478" name="189111891572072" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="854455904" size="4" />
+		<layer id="6083" name="Constant_211203" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5479" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Mul/fq_input_1" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="6084" name="Multiply_209099" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>8</dim>
-					<dim>77</dim>
 					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
+				<port id="2" precision="FP32">
 					<dim>8</dim>
-					<dim>77</dim>
 					<dim>40</dim>
+					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5480" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
+		<layer id="6085" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::baddbmm/Multiply_4687" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>8</dim>
@@ -78207,88 +92032,85 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>8</dim>
-					<dim>77</dim>
 					<dim>40</dim>
+					<dim>77</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5481" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
+		<layer id="6086" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::baddbmm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>77</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Softmax_output_0">
+				<port id="1" precision="FP32">
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>77</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="5482" name="Constant_74125694943694/quantized4668876974" type="Const" version="opset1">
-			<data element_type="i8" shape="320, 768" offset="854455908" size="245760" />
+			</input>
 			<output>
-				<port id="0" precision="I8">
-					<dim>320</dim>
-					<dim>768</dim>
+				<port id="2" precision="FP32" names="3665,attention_scores.59">
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5483" name="Constant_74125694943694/quantized/to_f32" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="6087" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::softmax/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="I8">
-					<dim>320</dim>
-					<dim>768</dim>
+				<port id="0" precision="FP32">
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>320</dim>
-					<dim>768</dim>
+				<port id="1" precision="FP32" names="3666,3667,attention_probs.117,attention_probs.119">
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5484" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_v/MatMul/fq_weights_1/scale4669678522" type="Const" version="opset1">
-			<data element_type="f32" shape="320, 1" offset="854701668" size="1280" />
+		<layer id="6088" name="self.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 768" offset="1703957936" size="491520" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16" names="93,self.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_v.weight">
 					<dim>320</dim>
-					<dim>1</dim>
+					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5485" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_v/MatMul/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="6089" name="self.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_v.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>320</dim>
-					<dim>1</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>320</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5486" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="6090" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_v/aten::linear/MatMul_4606" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -78302,35 +92124,35 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="3616,tensor.651">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5487" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Constant_4695175732" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="5362764" size="32" />
+		<layer id="6091" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/prim::ListConstruct_4656/Concat" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="10524716" size="16" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Constant_4_output_0">
+				<port id="0" precision="I32" names="3652">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5488" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Reshape_4" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="6092" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::reshape/Reshape_4657" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>320</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="3653,tensor.653">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -78338,15 +92160,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5489" name="Constant_173306953" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4692680" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5490" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+		<layer id="6093" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::permute/Transpose_4658" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -78354,12 +92168,12 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="3654,tensor.655">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
@@ -78367,16 +92181,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5491" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Constant_5695574769" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="5362796" size="24" />
+		<layer id="6094" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/prim::ListConstruct_4663/Concat" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="10524732" size="12" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Constant_5_output_0">
+				<port id="0" precision="I32" names="3657">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5492" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="6095" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::reshape/Reshape_4664" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -78384,62 +92198,230 @@
 					<dim>77</dim>
 					<dim>40</dim>
 				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3658,value.59">
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6096" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::bmm/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3668,tensor.657">
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6097" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::size/ShapeOf_4691" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6098" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::size/Constant_4689" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="1868900" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="6099" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::size/Gather_4690" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I32" />
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I32" names="3669" />
+			</output>
+		</layer>
+		<layer id="6100" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::floor_divide/Divide_4697" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
+			</input>
+			<output>
+				<port id="2" precision="I32" />
+			</output>
+		</layer>
+		<layer id="6101" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::floor_divide/Floor_4698" type="Floor" version="opset1">
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="I32" names="3674,3675" />
+			</output>
+		</layer>
+		<layer id="6102" name="Constant_102670" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9212024" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6103" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/prim::ListConstruct_4702/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="I32" />
 				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6104" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/prim::ListConstruct_4702/Reshape_0" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="9212032" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6105" name="Constant_174593" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="1868896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6106" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::size/Constant_4692" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="1868900" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="6107" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::size/Gather_4693" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I32" names="3671">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6108" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::size/Constant_4695" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="1868900" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="6109" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::size/Gather_4696" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
+				<port id="1" precision="I32" />
+				<port id="2" precision="I32" />
 			</input>
 			<output>
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-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>40</dim>
+				<port id="3" precision="I32" names="3672" />
+			</output>
+		</layer>
+		<layer id="6110" name="Constant_102673" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9212024" size="8" />
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+				<port id="0" precision="I64">
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 			</output>
 		</layer>
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-			<data transpose_a="false" transpose_b="false" />
+		<layer id="6111" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/prim::ListConstruct_4702/Reshape_2" type="Reshape" version="opset1">
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 			<input>
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-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>40</dim>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I64">
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 				</port>
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 		</layer>
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+				<port id="3" precision="I32">
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 			<output>
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+				<port id="4" precision="I32" names="3676">
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+		<layer id="6113" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::reshape/Reshape_4703" type="Reshape" version="opset1">
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 					<dim>40</dim>
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-				<port id="1" precision="I64">
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-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Reshape_6_output_0">
+				<port id="2" precision="FP32" names="3677,tensor.659">
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@@ -78447,15 +92429,7 @@
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 		</layer>
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-		<layer id="5497" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Transpose_4" type="Transpose" version="opset1">
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@@ -78463,12 +92437,12 @@
 					<dim>4096</dim>
 					<dim>40</dim>
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-				<port id="1" precision="I64">
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 					<dim>8</dim>
@@ -78476,125 +92450,94 @@
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+		<layer id="6115" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::mul/Multiply_4705" type="Multiply" version="opset1">
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+				<port id="0" precision="I32" />
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-				<port id="1" precision="I64">
-					<dim>3</dim>
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+		<layer id="6116" name="Constant_102676" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9212024" size="8" />
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+		<layer id="6117" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/prim::ListConstruct_4709/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="false" />
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 		</layer>
-		<layer id="5501" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Reshape_7/sq_mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="6118" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/prim::ListConstruct_4709/Concat" type="Concat" version="opset1">
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 					<dim>1</dim>
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 			<output>
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-					<dim>1</dim>
-					<dim>4096</dim>
-					<dim>320</dim>
+				<port id="3" precision="I32" names="3681">
+					<dim>3</dim>
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 			</output>
 		</layer>
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-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="6119" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::reshape/Reshape_4710" type="Reshape" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
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+					<dim>8</dim>
+					<dim>40</dim>
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+				<port id="1" precision="I32">
+					<dim>3</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3682,input.549">
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 					<dim>4096</dim>
 					<dim>320</dim>
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+		<layer id="6120" name="self.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="1704449456" size="204800" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP16" names="91,self.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0.weight">
 					<dim>320</dim>
 					<dim>320</dim>
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 			</output>
 		</layer>
-		<layer id="5508" name="Constant_74132696443701/quantized/to_f32" type="Convert" version="opset1">
+		<layer id="6121" name="self.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP16">
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 					<dim>320</dim>
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@@ -78606,78 +92549,80 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5509" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul/fq_weights_1/scale4867671124" type="Const" version="opset1">
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-			<data auto_broadcast="numpy" />
+		<layer id="6122" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul_4711" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>320</dim>
+					<dim>1</dim>
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 					<dim>320</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>320</dim>
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 			<output>
 				<port id="2" precision="FP32">
-					<dim>320</dim>
+					<dim>1</dim>
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 		</layer>
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-			<input>
-				<port id="0" precision="FP32">
+		<layer id="6123" name="Constant_211204_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1704654256" size="640" />
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+				<port id="0" precision="FP16">
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 					<dim>1</dim>
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 					<dim>320</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>320</dim>
+			</output>
+		</layer>
+		<layer id="6124" name="Constant_211204" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>320</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
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 					<dim>320</dim>
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 			</output>
 		</layer>
-		<layer id="5512" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
+		<layer id="6125" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
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 					<dim>320</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+				<port id="2" precision="FP32" names="3683,3684,attn_output.59,input.551">
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 					<dim>4096</dim>
 					<dim>320</dim>
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 		</layer>
-		<layer id="5513" name="/up_blocks.3/attentions.1/transformer_blocks.0/Add_1" type="Add" version="opset1">
+		<layer id="6126" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0/aten::add/Add_4714" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -78692,22 +92637,22 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/Add_1_output_0">
+				<port id="2" precision="FP32" names="3685,input.553">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
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 		</layer>
-		<layer id="5514" name="Constant_17365696879323" type="Const" version="opset1">
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+		<layer id="6127" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="9005940" size="4" />
 			<output>
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 					<dim>1</dim>
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 		</layer>
-		<layer id="5515" name="/up_blocks.3/attentions.1/transformer_blocks.0/norm3/Div" type="MVN" version="opset6">
+		<layer id="6128" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -78715,61 +92660,49 @@
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
-				<port id="1" precision="I64">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/norm3/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
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 		</layer>
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+		<layer id="6129" name="Constant_211205_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1704654896" size="640" />
 			<output>
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 					<dim>1</dim>
 					<dim>320</dim>
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="6130" name="Constant_211205" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 			<input>
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-					<dim>4096</dim>
-					<dim>320</dim>
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-				<port id="1" precision="FP32">
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 					<dim>1</dim>
 					<dim>320</dim>
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-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
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 					<dim>1</dim>
 					<dim>320</dim>
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 		</layer>
-		<layer id="5519" name="/up_blocks.3/attentions.1/transformer_blocks.0/norm3/Add_1" type="Add" version="opset1">
+		<layer id="6131" name="__module.model.up_blocks.3.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -78784,103 +92717,81 @@
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@@ -78892,291 +92803,467 @@
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+					<dim>64</dim>
+					<dim>64</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="6197" name="self.model.up_blocks.3.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 640, 3, 3" offset="1707737792" size="3686400" />
+			<output>
+				<port id="0" precision="FP16" names="79,self.model.up_blocks.3.resnets.2.conv1.weight">
 					<dim>320</dim>
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-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6198" name="self.model.up_blocks.3.resnets.2.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>320</dim>
+				<port id="1" precision="FP32">
 					<dim>320</dim>
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+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
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-			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+		<layer id="6199" name="__module.model.up_blocks.3.resnets.2.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
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+					<dim>640</dim>
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>320</dim>
-					<dim>320</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
@@ -79703,10 +93878,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5588" name="Reshape_17569701471304" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 320, 1, 1" offset="856160900" size="1280" />
+		<layer id="6200" name="__module.model.up_blocks.3.resnets.2.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="1711424192" size="640" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -79714,16 +93889,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5589" name="/up_blocks.3/attentions.1/proj_out/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="6201" name="__module.model.up_blocks.3.resnets.2.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
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-					<dim>320</dim>
-					<dim>64</dim>
-					<dim>64</dim>
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-				<port id="1" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -79731,15 +93903,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/proj_out/Conv_output_0">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>320</dim>
-					<dim>64</dim>
-					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5590" name="/up_blocks.3/attentions.1/Add" type="Add" version="opset1">
+		<layer id="6202" name="__module.model.up_blocks.3.resnets.2.conv1/aten::_convolution/Add_4745" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -79751,12 +93923,12 @@
 				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>320</dim>
-					<dim>64</dim>
-					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/Add_output_0">
+				<port id="2" precision="FP32" names="3705,hidden_states.543">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -79764,181 +93936,229 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5591" name="/up_blocks.3/Concat_2" type="Concat" version="opset1">
-			<data axis="1" />
+		<layer id="6203" name="self.model.up_blocks.3.resnets.2.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1280" offset="1711424832" size="819200" />
+			<output>
+				<port id="0" precision="FP16" names="77,self.model.up_blocks.3.resnets.2.time_emb_proj.weight">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6204" name="self.model.up_blocks.3.resnets.2.time_emb_proj.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
+				<port id="0" precision="FP16">
 					<dim>320</dim>
-					<dim>64</dim>
-					<dim>64</dim>
+					<dim>1280</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6205" name="__module.model.up_blocks.3.resnets.2.time_emb_proj/aten::linear/MatMul_4746" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>320</dim>
-					<dim>64</dim>
-					<dim>64</dim>
+					<dim>1280</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/Concat_2_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
-					<dim>640</dim>
-					<dim>64</dim>
-					<dim>64</dim>
+					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5592" name="162681627278507" type="Const" version="opset1">
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-				<port id="0" precision="FP32" />
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-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="5594" name="162701627479836" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="856162180" size="4" />
+		<layer id="6206" name="Constant_211211_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320" offset="1712244032" size="640" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5595" name="162711627577133" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="856162184" size="4" />
+		<layer id="6207" name="Constant_211211" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5596" name="/up_blocks.3/resnets.2/conv_shortcut/Conv/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="6208" name="__module.model.up_blocks.3.resnets.2.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>640</dim>
-					<dim>64</dim>
-					<dim>64</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
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+					<dim>320</dim>
 				</port>
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-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
+				<port id="2" precision="FP32" names="3706">
 					<dim>1</dim>
-					<dim>640</dim>
-					<dim>64</dim>
-					<dim>64</dim>
+					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i8" shape="320, 640, 1, 1" offset="856162188" size="204800" />
+		<layer id="6209" name="__module.model.up_blocks.3.resnets.2/aten::slice/Unsqueeze_4747" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="1868900" size="4" />
 			<output>
-				<port id="0" precision="I8">
-					<dim>320</dim>
-					<dim>640</dim>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6210" name="__module.model.up_blocks.3.resnets.2/aten::slice/Unsqueeze_4748" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1868904" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6211" name="__module.model.up_blocks.3.resnets.2/aten::slice/Unsqueeze_4749" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="1868896" size="4" />
+			<output>
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data destination_type="f32" />
+		<layer id="6212" name="__module.model.up_blocks.3.resnets.2/aten::slice/Slice" type="StridedSlice" version="opset1">
+			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP32">
+					<dim>1</dim>
 					<dim>320</dim>
-					<dim>640</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
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+				<port id="2" precision="I64">
 					<dim>1</dim>
+				</port>
+				<port id="3" precision="I32">
 					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>320</dim>
-					<dim>640</dim>
-					<dim>1</dim>
+				<port id="4" precision="FP32" names="3707">
 					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6213" name="Constant_191204" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="1869264" size="8" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6214" name="Constant_191207" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="1869240" size="16" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
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 		</layer>
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-			<data element_type="f32" shape="320, 1, 1, 1" offset="856366988" size="1280" />
+		<layer id="6215" name="Constant_191210" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="1869256" size="8" />
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="I32">
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="6216" name="__module.model.up_blocks.3.resnets.2/aten::slice/Slice_4755" type="StridedSlice" version="opset1">
+			<data begin_mask="1, 0" end_mask="1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
 			<input>
 				<port id="0" precision="FP32">
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-					<dim>640</dim>
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 					<dim>320</dim>
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-					<dim>1</dim>
-					<dim>1</dim>
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+				<port id="1" precision="I32">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>2</dim>
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+				<port id="3" precision="I32">
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 			</input>
 			<output>
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-					<dim>320</dim>
-					<dim>640</dim>
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+				<port id="4" precision="FP32" names="3708">
 					<dim>1</dim>
+					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
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-			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+		<layer id="6217" name="__module.model.up_blocks.3.resnets.2/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
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 					<dim>320</dim>
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-					<dim>1</dim>
 				</port>
+				<port id="1" precision="I32" />
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 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="3709">
 					<dim>1</dim>
 					<dim>320</dim>
-					<dim>64</dim>
-					<dim>64</dim>
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 		</layer>
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-			<output>
+		<layer id="6218" name="__module.model.up_blocks.3.resnets.2/aten::unsqueeze/Unsqueeze_4756" type="Unsqueeze" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>1</dim>
+				</port>
+				<port id="1" precision="I32" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3710,temb">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="5603" name="/up_blocks.3/resnets.2/conv_shortcut/Conv" type="Add" version="opset1">
+		<layer id="6219" name="__module.model.up_blocks.3.resnets.2/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -79955,7 +94175,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.2/conv_shortcut/Conv_output_0">
+				<port id="2" precision="FP32" names="3711,input.567">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -79963,321 +94183,209 @@
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="3" offset="563208" size="24" />
+		<layer id="6220" name="__module.model.up_blocks.3.resnets.2.norm2/aten::group_norm/Constant_4759" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23744" size="12" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/resnets.2/norm1/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>3</dim>
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 			</output>
 		</layer>
-		<layer id="5605" name="/up_blocks.3/resnets.2/norm1/Reshape" type="Reshape" version="opset1">
+		<layer id="6221" name="__module.model.up_blocks.3.resnets.2.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
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 					<dim>64</dim>
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-				<port id="1" precision="I64">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.2/norm1/Reshape_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
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@@ -80305,15 +94401,9 @@
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 					<dim>64</dim>
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 					<dim>320</dim>
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@@ -80321,160 +94411,123 @@
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 		</layer>
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 		</layer>
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 			<data destination_type="f32" />
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 					<dim>320</dim>
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+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 					<dim>320</dim>
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 		</layer>
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+		<layer id="6238" name="__module.model.up_blocks.3.resnets.2.conv2/aten::_convolution/Add_4767" type="Add" version="opset1">
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@@ -80486,12 +94539,12 @@
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 					<dim>320</dim>
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+		<layer id="6240" name="__module.model.up_blocks.3.attentions.2.norm/aten::group_norm/Constant_4783" type="Const" version="opset1">
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+		<layer id="6242" name="__module.model.up_blocks.3.attentions.2.norm/aten::group_norm/Constant_4784" type="Const" version="opset1">
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+		<layer id="6243" name="__module.model.up_blocks.3.attentions.2.norm/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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 					<dim>40960</dim>
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 					<dim>32</dim>
 					<dim>40960</dim>
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 		</layer>
-		<layer id="5643" name="/up_blocks.3/resnets.2/norm2/Shape" type="ShapeOf" version="opset3">
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+		<layer id="6244" name="__module.model.up_blocks.3.attentions.2/aten::size/ShapeOf" type="ShapeOf" version="opset3">
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 				<port id="0" precision="FP32">
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@@ -80567,12 +94620,12 @@
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 			</input>
 			<output>
-				<port id="1" precision="I64" names="/up_blocks.3/resnets.2/norm2/Shape_output_0">
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 		</layer>
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+		<layer id="6245" name="__module.model.up_blocks.3.attentions.2.norm/aten::group_norm/Reshape_4785" type="Reshape" version="opset1">
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 					<dim>40960</dim>
 				</port>
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+				<port id="2" precision="FP32">
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@@ -80604,16 +94657,13 @@
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="6247" name="Constant_211214" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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@@ -80621,18 +94671,7 @@
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@@ -80640,7 +94679,7 @@
 				</port>
 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
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@@ -80657,7 +94696,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.2/norm2/Add_output_0">
+				<port id="2" precision="FP32">
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 					<dim>320</dim>
 					<dim>64</dim>
@@ -80665,50 +94704,41 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5649" name="/up_blocks.3/resnets.2/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="6249" name="Constant_211215_compressed" type="Const" version="opset1">
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+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="6250" name="Constant_211215" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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 			<output>
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-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="6251" name="__module.model.up_blocks.3.attentions.2.norm/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -80716,13 +94746,15 @@
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
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-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3723,hidden_states.551">
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 					<dim>320</dim>
 					<dim>64</dim>
@@ -80730,101 +94762,90 @@
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 			<data destination_type="f32" />
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 				<port id="0" precision="FP32">
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@@ -81473,122 +95529,217 @@
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+		<layer id="6307" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::size/ShapeOf_4810" type="ShapeOf" version="opset3">
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+			<data batch_dims="0" />
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+				<port id="3" precision="I32" names="3749" />
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+		<layer id="6310" name="Constant_102693" type="Const" version="opset1">
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+		<layer id="6312" name="Constant_174618" type="Const" version="opset1">
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+		<layer id="6316" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::size/Constant_4817" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="1868900" size="4" />
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+		</layer>
+		<layer id="6318" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::floor_divide/Divide_4819" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
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+		</layer>
+		<layer id="6319" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::floor_divide/Floor_4820" type="Floor" version="opset1">
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+			<output>
+				<port id="1" precision="I32" names="3754,3755" />
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+		<layer id="6320" name="Constant_102696" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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+		</layer>
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 			</input>
 			<output>
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+				<port id="3" precision="I32">
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 			<output>
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+				<port id="4" precision="I32" names="3756">
 					<dim>4</dim>
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 		</layer>
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-			<data special_zero="true" />
+		<layer id="6323" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::reshape/Reshape_4825" type="Reshape" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
-				<port id="1" precision="I64">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Reshape_output_0">
+				<port id="2" precision="FP32" names="3757,tensor.669">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>8</dim>
@@ -81596,15 +95747,7 @@
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 		</layer>
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-		</layer>
-		<layer id="5715" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+		<layer id="6324" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::permute/Transpose_4826" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -81612,29 +95755,72 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3758,tensor.671">
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+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
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+			</output>
+		</layer>
+		<layer id="6325" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::mul/Multiply_4827" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
+			</input>
+			<output>
+				<port id="2" precision="I32" names="3759,3760" />
+			</output>
+		</layer>
+		<layer id="6326" name="Constant_102697" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9212024" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6327" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/prim::ListConstruct_4831/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="I32" />
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Transpose_output_0">
+				<port id="2" precision="I32">
 					<dim>1</dim>
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="3" offset="4692712" size="24" />
+		<layer id="6328" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/prim::ListConstruct_4831/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>1</dim>
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+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant_1_output_0">
+				<port id="3" precision="I32" names="3761">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="6329" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::reshape/Reshape_4832" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -81642,195 +95828,212 @@
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="3762,key.61">
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
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 		</layer>
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-					<dim>320</dim>
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-		<layer id="5719" name="Constant_74165709443759/quantized/to_f32" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="6330" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::size/ShapeOf_4862" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
-				<port id="0" precision="I8">
-					<dim>320</dim>
-					<dim>320</dim>
+				<port id="0" precision="FP32">
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
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 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>320</dim>
-					<dim>320</dim>
+				<port id="1" precision="I32">
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="320, 1" offset="859876788" size="1280" />
+		<layer id="6331" name="Constant_174623" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="1868896" size="4" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>320</dim>
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
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 		</layer>
-		<layer id="5721" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/to_k/MatMul/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="6332" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::size/Constant_4863" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="1868900" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="6333" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::size/Gather_4864" type="Gather" version="opset8">
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 			<input>
-				<port id="0" precision="FP32">
-					<dim>320</dim>
-					<dim>320</dim>
+				<port id="0" precision="I32">
+					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>320</dim>
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
+				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>320</dim>
-					<dim>320</dim>
+				<port id="3" precision="I32" names="3779">
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 			</output>
 		</layer>
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-			<data transpose_a="false" transpose_b="true" />
+		<layer id="6334" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/prim::ListConstruct_4867/Concat" type="Concat" version="opset1">
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 			<input>
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+				<port id="0" precision="I32">
+					<dim>2</dim>
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 					<dim>1</dim>
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-					<dim>320</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>320</dim>
-					<dim>320</dim>
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+		</layer>
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+		<layer id="6337" name="Constant_211218" type="Convert" version="opset1">
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 		</layer>
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+		<layer id="6341" name="Constant_211219_compressed" type="Const" version="opset1">
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+		</layer>
+		<layer id="6342" name="Constant_211219" type="Convert" version="opset1">
+			<data destination_type="f32" />
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 					<dim>1</dim>
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 		</layer>
-		<layer id="5730" name="Multiply_74287" type="Multiply" version="opset1">
+		<layer id="6343" name="Multiply_209101" type="Multiply" version="opset1">
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 				<port id="0" precision="FP32">
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 					<dim>40</dim>
+					<dim>4096</dim>
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 				<port id="1" precision="FP32">
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@@ -81841,79 +96044,56 @@
 			<output>
 				<port id="2" precision="FP32">
 					<dim>8</dim>
-					<dim>4096</dim>
 					<dim>40</dim>
+					<dim>4096</dim>
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 		</layer>
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-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="6344" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::baddbmm/Multiply_4878" type="MatMul" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>8</dim>
 					<dim>4096</dim>
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+					<dim>4096</dim>
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 					<dim>4096</dim>
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 		</layer>
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+		<layer id="6345" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::baddbmm/Add" type="Add" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>8</dim>
 					<dim>4096</dim>
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 				<port id="1" precision="FP32">
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 					<dim>4096</dim>
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Mul_output_0">
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 					<dim>4096</dim>
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 		</layer>
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+		<layer id="6346" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::softmax/Softmax" type="SoftMax" version="opset8">
 			<data axis="-1" />
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@@ -81923,26 +96103,29 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Softmax_output_0">
+				<port id="1" precision="FP32" names="3784,3785,attention_probs.121,attention_probs.123">
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>4096</dim>
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 		</layer>
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+		<layer id="6347" name="self.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_v.weight_compressed" type="Const" version="opset1">
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 			<output>
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 					<dim>320</dim>
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 		</layer>
-		<layer id="5739" name="Constant_74172710643764/quantized/to_f32" type="Convert" version="opset1">
+		<layer id="6348" name="self.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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 			<input>
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+				<port id="0" precision="FP16">
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 					<dim>320</dim>
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@@ -81954,77 +96137,217 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="6349" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_v/aten::linear/MatMul_4797" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>320</dim>
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+				<port id="1" precision="FP32">
 					<dim>320</dim>
+					<dim>320</dim>
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+			<output>
+				<port id="2" precision="FP32" names="3734,tensor.673">
 					<dim>1</dim>
+					<dim>4096</dim>
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 		</layer>
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+		<layer id="6350" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::size/ShapeOf_4839" type="ShapeOf" version="opset3">
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 			<input>
 				<port id="0" precision="FP32">
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+					<dim>1</dim>
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 					<dim>320</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>320</dim>
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+			<output>
+				<port id="1" precision="I32">
+					<dim>3</dim>
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+		<layer id="6351" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::size/Constant_4834" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="1868900" size="4" />
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+		<layer id="6352" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::size/Gather_4835" type="Gather" version="opset8">
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+					<dim>3</dim>
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+				<port id="2" precision="I32" />
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+				<port id="3" precision="I32" names="3763" />
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+		<layer id="6353" name="Constant_102701" type="Const" version="opset1">
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 			<output>
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-					<dim>320</dim>
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 		</layer>
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+		<layer id="6355" name="Constant_174628" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="1868896" size="4" />
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+		<layer id="6357" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::size/Gather_4838" type="Gather" version="opset8">
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+				<port id="3" precision="I32" names="3765">
+					<dim>1</dim>
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+		<layer id="6358" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/prim::ListConstruct_4847/Reshape_1" type="Const" version="opset1">
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+		<layer id="6360" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::size/Gather_4841" type="Gather" version="opset8">
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+					<dim>3</dim>
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+			<output>
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+		</layer>
+		<layer id="6361" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::floor_divide/Divide_4842" type="Divide" version="opset1">
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+		</layer>
+		<layer id="6362" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::floor_divide/Floor_4843" type="Floor" version="opset1">
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 		</layer>
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-			<data special_zero="true" />
+		<layer id="6366" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::reshape/Reshape_4848" type="Reshape" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
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+				<port id="2" precision="FP32" names="3771,tensor.675">
 					<dim>1</dim>
 					<dim>4096</dim>
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@@ -82032,15 +96355,7 @@
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+		<layer id="6367" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::permute/Transpose_4849" type="Transpose" version="opset1">
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@@ -82048,12 +96363,12 @@
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+				<port id="2" precision="FP32" names="3772,tensor.677">
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 					<dim>8</dim>
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@@ -82061,16 +96376,59 @@
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 		</layer>
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-			<data element_type="i64" shape="3" offset="4692712" size="24" />
+		<layer id="6368" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::mul/Multiply_4850" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
+			</input>
+			<output>
+				<port id="2" precision="I32" names="3773,3774" />
+			</output>
+		</layer>
+		<layer id="6369" name="Constant_102705" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9212024" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6370" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/prim::ListConstruct_4854/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I64">
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+			<output>
+				<port id="2" precision="I32">
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+			</output>
+		</layer>
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+			<data axis="0" />
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+				<port id="0" precision="I32">
+					<dim>1</dim>
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 			<output>
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+				<port id="3" precision="I32" names="3775">
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 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="6372" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::reshape/Reshape_4855" type="Reshape" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -82078,19 +96436,19 @@
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Reshape_5_output_0">
+				<port id="2" precision="FP32" names="3776,value.61">
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 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="6373" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::bmm/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
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 				<port id="0" precision="FP32">
@@ -82105,190 +96463,319 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="3786,tensor.679">
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="6374" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::size/ShapeOf_4885" type="ShapeOf" version="opset3">
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 				<port id="0" precision="FP32">
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 					<dim>4096</dim>
 					<dim>40</dim>
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-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
+				<port id="1" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="5752" name="Constant_182327117" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4692680" size="32" />
+		<layer id="6375" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::size/Constant_4880" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="1868900" size="4" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="6376" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::size/Gather_4881" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>3</dim>
 				</port>
+				<port id="1" precision="I32" />
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I32" names="3787" />
 			</output>
 		</layer>
-		<layer id="5753" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Transpose_4" type="Transpose" version="opset1">
+		<layer id="6377" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::floor_divide/Divide_4888" type="Divide" version="opset1">
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 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
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+			<output>
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+			</output>
+		</layer>
+		<layer id="6378" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::floor_divide/Floor_4889" type="Floor" version="opset1">
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="I32" names="3792,3793" />
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+		<layer id="6379" name="Constant_102708" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9212024" size="8" />
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 					<dim>1</dim>
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
 				</port>
+			</output>
+		</layer>
+		<layer id="6380" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/prim::ListConstruct_4893/Reshape" type="Reshape" version="opset1">
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+				<port id="0" precision="I32" />
 				<port id="1" precision="I64">
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 			<output>
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 					<dim>1</dim>
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 		</layer>
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 			<output>
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-					<dim>3</dim>
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 		</layer>
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-			<data special_zero="true" />
+		<layer id="6382" name="Constant_174633" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="1868896" size="4" />
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+				<port id="0" precision="I32">
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+			<data element_type="i32" shape="" offset="1868900" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
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+		<layer id="6384" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::size/Gather_4884" type="Gather" version="opset8">
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 			<input>
-				<port id="0" precision="FP32">
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-					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
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+					<dim>1</dim>
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+			<data element_type="i32" shape="" offset="1868900" size="4" />
+			<output>
+				<port id="0" precision="I32" />
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 					<dim>3</dim>
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 			<output>
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+				<port id="3" precision="I32" names="3790" />
+			</output>
+		</layer>
+		<layer id="6387" name="Constant_102711" type="Const" version="opset1">
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 					<dim>1</dim>
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 			<output>
-				<port id="0" precision="FP32">
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 				<port id="0" precision="FP32">
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+		<layer id="6397" name="self.model.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_out.0.weight_compressed" type="Const" version="opset1">
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@@ -82386,22 +96875,22 @@
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@@ -82478,24 +96955,44 @@
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@@ -82510,198 +97007,251 @@
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 			</input>
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+		<layer id="6419" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/prim::ListConstruct_4912/Reshape" type="Reshape" version="opset1">
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+		<layer id="6420" name="Constant_174638" type="Const" version="opset1">
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-					<dim>320</dim>
-					<dim>320</dim>
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+		</layer>
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+		<layer id="6426" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::floor_divide/Divide" type="Divide" version="opset1">
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 		</layer>
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+		<layer id="6427" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::floor_divide/Floor" type="Floor" version="opset1">
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+				<port id="1" precision="I32" names="3813,3814" />
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+		<layer id="6428" name="Constant_102721" type="Const" version="opset1">
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+		<layer id="6429" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/prim::ListConstruct_4916/Reshape_1" type="Reshape" version="opset1">
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 			</input>
 			<output>
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+		<layer id="6430" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/prim::ListConstruct_4912/Concat" type="Concat" version="opset1">
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+				<port id="3" precision="I32">
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 			<output>
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+				<port id="4" precision="I32" names="3815">
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 		</layer>
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+		<layer id="6431" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_output_0">
+				<port id="2" precision="FP32" names="3816,tensor.685">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>8</dim>
@@ -82709,15 +97259,7 @@
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 		</layer>
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-		<layer id="5796" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+		<layer id="6432" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
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@@ -82725,12 +97267,12 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
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 					<dim>4</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Transpose_output_0">
+				<port id="2" precision="FP32" names="3817,tensor.687">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
@@ -82738,16 +97280,59 @@
 				</port>
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 		</layer>
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-			<data element_type="i64" shape="3" offset="4692712" size="24" />
+		<layer id="6433" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
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+			<output>
+				<port id="2" precision="I32" names="3818,3819" />
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+		</layer>
+		<layer id="6434" name="Constant_102719" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9212024" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6435" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/prim::ListConstruct_4916/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
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+				<port id="0" precision="I32" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
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+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="6436" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/prim::ListConstruct_4916/Concat" type="Concat" version="opset1">
+			<data axis="0" />
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+				<port id="0" precision="I32">
+					<dim>1</dim>
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+				<port id="1" precision="I32">
+					<dim>1</dim>
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+				<port id="2" precision="I32">
+					<dim>1</dim>
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+			</input>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_1_output_0">
+				<port id="3" precision="I32" names="3820">
 					<dim>3</dim>
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 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="6437" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::reshape/Reshape_4917" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -82755,71 +97340,92 @@
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="3821,query">
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>40</dim>
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 		</layer>
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+		<layer id="6438" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::size/ShapeOf_4964" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
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 			<output>
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-					<dim>320</dim>
-					<dim>768</dim>
+				<port id="1" precision="I32">
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 			</output>
 		</layer>
-		<layer id="5800" name="Constant_74194713943779/quantized/to_f32" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="6439" name="Constant_174815" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="9212052" size="8" />
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+					<dim>2</dim>
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+		<layer id="6440" name="Constant_174816" type="Const" version="opset1">
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+			<output>
+				<port id="0" precision="I64" />
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+		</layer>
+		<layer id="6441" name="Gather_174817" type="Gather" version="opset8">
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-					<dim>768</dim>
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+					<dim>3</dim>
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+				<port id="1" precision="I32">
+					<dim>2</dim>
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 			<output>
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-					<dim>768</dim>
+				<port id="3" precision="I32">
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 		</layer>
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 			<output>
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 					<dim>320</dim>
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 		</layer>
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+		<layer id="6443" name="self.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_k.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
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 			<input>
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+				<port id="0" precision="FP16">
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 					<dim>768</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>320</dim>
-					<dim>1</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>320</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5803" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="6444" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_k/aten::linear/MatMul_4904" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82833,35 +97439,35 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="3806,tensor.689">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5804" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_2714171136" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="5362764" size="32" />
+		<layer id="6445" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/prim::ListConstruct_4932/Concat" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="10524716" size="16" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_2_output_0">
+				<port id="0" precision="I32" names="3829">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5805" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="6446" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::reshape/Reshape_4933" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>320</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="3830,tensor.691">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -82869,15 +97475,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5806" name="Constant_182837143" type="Const" version="opset1">
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-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5807" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+		<layer id="6447" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::permute/Transpose_4934" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -82885,12 +97483,12 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="3831,tensor.693">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
@@ -82898,16 +97496,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5808" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_3714575483" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="5362796" size="24" />
+		<layer id="6448" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/prim::ListConstruct_4939/Concat" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="10524732" size="12" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_3_output_0">
+				<port id="0" precision="I32" names="3834">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5809" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="6449" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::reshape/Reshape_4940" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -82915,35 +97513,133 @@
 					<dim>77</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="3835,key">
 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5810" name="Constant_75255714776194" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1" offset="4796416" size="4" />
-			<output>
+		<layer id="6450" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::size/ShapeOf_4970" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
 				<port id="0" precision="FP32">
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6451" name="Constant_174653" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="1868896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6452" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::size/Constant_4971" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="1868900" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="6453" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::size/Gather_4972" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I32" names="3852">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6454" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/prim::ListConstruct_4975/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32" names="3853">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6455" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::empty/Broadcast" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3854,baddbmm_input">
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6456" name="Constant_211223_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1" offset="1715815236" size="2" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6457" name="Constant_211223" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5811" name="Multiply_74289" type="Multiply" version="opset1">
+		<layer id="6458" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::baddbmm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>8</dim>
+					<dim>4096</dim>
 					<dim>77</dim>
-					<dim>40</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
@@ -82954,58 +97650,92 @@
 			<output>
 				<port id="2" precision="FP32">
 					<dim>8</dim>
+					<dim>4096</dim>
 					<dim>77</dim>
-					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5812" name="154981550276011" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="860441300" size="4" />
+		<layer id="6459" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="9416862" size="12" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5813" name="154991550378030" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="860441304" size="4" />
+		<layer id="6460" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="2" precision="FP32" names="3855">
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5814" name="155001550476173" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="860441300" size="4" />
+		<layer id="6461" name="Constant_211224_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1" offset="1715815238" size="2" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5815" name="155011550575378" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="860441304" size="4" />
+		<layer id="6462" name="Constant_211224" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5816" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Mul/fq_input_1" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="6463" name="Multiply_209103" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>8</dim>
-					<dim>77</dim>
 					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
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-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
+				<port id="2" precision="FP32">
 					<dim>8</dim>
-					<dim>77</dim>
 					<dim>40</dim>
+					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5817" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
+		<layer id="6464" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::baddbmm/Multiply_4986" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>8</dim>
@@ -83014,88 +97744,85 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>8</dim>
-					<dim>77</dim>
 					<dim>40</dim>
+					<dim>77</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5818" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
+		<layer id="6465" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::baddbmm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>77</dim>
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-			<output>
-				<port id="1" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Softmax_output_0">
+				<port id="1" precision="FP32">
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>77</dim>
 				</port>
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-			<data element_type="i8" shape="320, 768" offset="860441308" size="245760" />
+			</input>
 			<output>
-				<port id="0" precision="I8">
-					<dim>320</dim>
-					<dim>768</dim>
+				<port id="2" precision="FP32" names="3856,attention_scores">
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5820" name="Constant_74201715143784/quantized/to_f32" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="6466" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::softmax/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="I8">
-					<dim>320</dim>
-					<dim>768</dim>
+				<port id="0" precision="FP32">
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
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 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>320</dim>
-					<dim>768</dim>
+				<port id="1" precision="FP32" names="3857,3858,attention_probs,attention_probs.125">
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5821" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/to_v/MatMul/fq_weights_1/scale5155674436" type="Const" version="opset1">
-			<data element_type="f32" shape="320, 1" offset="860687068" size="1280" />
+		<layer id="6467" name="self.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 768" offset="1715815240" size="491520" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16" names="55,self.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_v.weight">
 					<dim>320</dim>
-					<dim>1</dim>
+					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5822" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/to_v/MatMul/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="6468" name="self.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_v.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>768</dim>
 				</port>
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-					<dim>320</dim>
-					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP32">
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 					<dim>768</dim>
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 		</layer>
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+		<layer id="6469" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_v/aten::linear/MatMul_4905" type="MatMul" version="opset1">
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@@ -83109,35 +97836,35 @@
 				</port>
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="3807,tensor.695">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>320</dim>
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="5362764" size="32" />
+		<layer id="6470" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/prim::ListConstruct_4955/Concat" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="10524716" size="16" />
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+				<port id="0" precision="I32" names="3843">
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 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="6471" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::reshape/Reshape_4956" type="Reshape" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>320</dim>
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-				<port id="1" precision="I64">
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-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="3844,tensor.697">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -83145,15 +97872,7 @@
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 		</layer>
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-		</layer>
-		<layer id="5827" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+		<layer id="6472" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::permute/Transpose_4957" type="Transpose" version="opset1">
 			<input>
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 					<dim>1</dim>
@@ -83161,12 +97880,12 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="3845,tensor.699">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
@@ -83174,16 +97893,16 @@
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 		</layer>
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-			<data element_type="i64" shape="3" offset="5362796" size="24" />
+		<layer id="6473" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/prim::ListConstruct_4962/Concat" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="10524732" size="12" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_5_output_0">
+				<port id="0" precision="I32" names="3848">
 					<dim>3</dim>
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 		</layer>
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-			<data special_zero="true" />
+		<layer id="6474" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::reshape/Reshape_4963" type="Reshape" version="opset1">
+			<data special_zero="false" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -83191,19 +97910,19 @@
 					<dim>77</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_5_output_0">
+				<port id="2" precision="FP32" names="3849,value">
 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5830" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
+		<layer id="6475" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::bmm/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
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 				<port id="0" precision="FP32">
@@ -83218,190 +97937,319 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="3859,tensor.701">
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-		</layer>
-		<layer id="5832" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="6476" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::size/ShapeOf_4987" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
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 			</input>
 			<output>
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-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
+				<port id="1" precision="I32">
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5833" name="Constant_183227162" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4692680" size="32" />
+		<layer id="6477" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::size/Constant_4988" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="1868900" size="4" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="6478" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::size/Gather_4989" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>3</dim>
 				</port>
+				<port id="1" precision="I32" />
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I32" names="3860" />
 			</output>
 		</layer>
-		<layer id="5834" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Transpose_4" type="Transpose" version="opset1">
+		<layer id="6479" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::floor_divide/Divide_4996" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
+			</input>
+			<output>
+				<port id="2" precision="I32" />
+			</output>
+		</layer>
+		<layer id="6480" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::floor_divide/Floor_4997" type="Floor" version="opset1">
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="I32" names="3865,3866" />
+			</output>
+		</layer>
+		<layer id="6481" name="Constant_102739" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9212024" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
 				</port>
+			</output>
+		</layer>
+		<layer id="6482" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/prim::ListConstruct_5001/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="I32" />
 				<port id="1" precision="I64">
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+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Transpose_4_output_0">
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 					<dim>1</dim>
-					<dim>4096</dim>
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 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="3" offset="4585080" size="24" />
+		<layer id="6483" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/prim::ListConstruct_5001/Reshape_0" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_8_output_0">
-					<dim>3</dim>
+				<port id="0" precision="I32">
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 		</layer>
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-			<data special_zero="true" />
+		<layer id="6484" name="Constant_174658" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="1868896" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
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+		<layer id="6485" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::size/Constant_4991" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="1868900" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="6486" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::size/Gather_4992" type="Gather" version="opset8">
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 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I32">
+					<dim>3</dim>
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 					<dim>1</dim>
-					<dim>4096</dim>
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-					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="2" precision="I32" />
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+			<output>
+				<port id="3" precision="I32" names="3862">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6487" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::size/Constant_4994" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="1868900" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="6488" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::size/Gather_4995" type="Gather" version="opset8">
+			<data batch_dims="0" />
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+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
+				<port id="1" precision="I32" />
+				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_7_output_0">
+				<port id="3" precision="I32" names="3863" />
+			</output>
+		</layer>
+		<layer id="6489" name="Constant_102742" type="Const" version="opset1">
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 					<dim>1</dim>
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-			<data element_type="f32" shape="1, 1, 320" offset="860688348" size="1280" />
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+				<port id="0" precision="I32" />
+				<port id="1" precision="I64">
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 			<output>
-				<port id="0" precision="FP32">
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+					<dim>1</dim>
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+		<layer id="6491" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.attn2/prim::ListConstruct_5001/Concat" type="Concat" version="opset1">
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+				<port id="0" precision="I32">
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 					<dim>1</dim>
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+				<port id="2" precision="I32">
 					<dim>1</dim>
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+				<port id="3" precision="I32">
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 			<input>
 				<port id="0" precision="FP32">
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-				<port id="1" precision="FP32">
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 					<dim>1</dim>
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 			<output>
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 					<dim>4096</dim>
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 			<output>
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+		<layer id="6509" name="Constant_211226" type="Convert" version="opset1">
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@@ -83699,103 +98515,81 @@
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@@ -84093,15 +98770,14 @@
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@@ -84115,24 +98791,14 @@
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 			<data destination_type="f32" />
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@@ -84223,78 +98847,80 @@
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+		<layer id="6538" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2/aten::linear/MatMul_5017" type="MatMul" version="opset1">
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+		<layer id="6540" name="Constant_211229" type="Convert" version="opset1">
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@@ -84309,80 +98935,73 @@
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 			<output>
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+		<layer id="6543" name="__module.model.up_blocks.3.attentions.2/prim::ListConstruct_5023/Reshape_0" type="Const" version="opset1">
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+		<layer id="6544" name="__module.model.up_blocks.3.attentions.2/prim::ListConstruct_5023/Reshape_1" type="Const" version="opset1">
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+		<layer id="6545" name="__module.model.up_blocks.3.attentions.2/prim::ListConstruct_5023/Reshape_2" type="Const" version="opset1">
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 		</layer>
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+		<layer id="6546" name="__module.model.up_blocks.3.attentions.2/prim::ListConstruct_5023/Concat" type="Concat" version="opset1">
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+		<layer id="6547" name="__module.model.up_blocks.3.attentions.2/aten::reshape/Reshape_5024" type="Reshape" version="opset1">
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 					<dim>320</dim>
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 			<output>
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@@ -84390,15 +99009,7 @@
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@@ -84406,12 +99017,12 @@
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@@ -84419,10 +99030,10 @@
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@@ -84430,10 +99041,13 @@
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 			<data destination_type="f32" />
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@@ -84449,71 +99063,57 @@
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+		<layer id="6551" name="__module.model.up_blocks.3.attentions.2.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
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 					<dim>1</dim>
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 					<dim>1</dim>
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 			<output>
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+					<dim>64</dim>
+					<dim>64</dim>
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+		<layer id="6552" name="__module.model.up_blocks.3.attentions.2.proj_out/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
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+		<layer id="6553" name="__module.model.up_blocks.3.attentions.2.proj_out/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
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@@ -84521,7 +99121,7 @@
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 		</layer>
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@@ -84538,7 +99138,7 @@
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+		<layer id="6563" name="Constant_211230" type="Convert" version="opset1">
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 					<dim>64</dim>
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+			<framework value="pytorch" />
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+	</rt_info>
 </net>