Initial Upload

.gitattributes

@@ -33,3 +33,10 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+controlnet/model.onnx.data filter=lfs diff=lfs merge=lfs -text
+Icon.png filter=lfs diff=lfs merge=lfs -text
+Sample.png filter=lfs diff=lfs merge=lfs -text
+Sample2.png filter=lfs diff=lfs merge=lfs -text
+Sample3.png filter=lfs diff=lfs merge=lfs -text
+Sample4.png filter=lfs diff=lfs merge=lfs -text
+unet/model.onnx.data filter=lfs diff=lfs merge=lfs -text

README.md

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+# Zavy Chroma XL v8 - Onnx Olive DirectML Optimized 
+
+## Original Model
+https://civitai.com/models/119229?modelVersionId=563988
+
+## C# Inference Demo
+https://github.com/saddam213/OnnxStack
+
+```csharp
+// Create Pipeline
+var pipeline = StableDiffusionXLPipeline.CreatePipeline("D:\\Models\\ZavyChromaXL-onnx");
+
+// Prompt
+var promptOptions = new PromptOptions
+{
+    Prompt = "Visualize a traditional wooden fishing boat anchored in a quiet harbor, with nets and fishing gear on board."
+};
+
+// Run pipeline
+var result = await pipeline.GenerateImageAsync(promptOptions);
+
+// Save Image Result
+await result.SaveAsync("Result.png");
+```
+## Inference Result
+![Intro Image](Sample.png)

controlnet/config.json

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+{
+  "_class_name": "UNet2DConditionModel",
+  "_diffusers_version": "0.19.0.dev0",
+  "act_fn": "silu",
+  "addition_embed_type": "text_time",
+  "addition_embed_type_num_heads": 64,
+  "addition_time_embed_dim": 256,
+  "attention_head_dim": [
+    5,
+    10,
+    20
+  ],
+  "block_out_channels": [
+    320,
+    640,
+    1280
+  ],
+  "center_input_sample": false,
+  "class_embed_type": null,
+  "class_embeddings_concat": false,
+  "conv_in_kernel": 3,
+  "conv_out_kernel": 3,
+  "cross_attention_dim": 2048,
+  "cross_attention_norm": null,
+  "down_block_types": [
+    "DownBlock2D",
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D"
+  ],
+  "downsample_padding": 1,
+  "dual_cross_attention": false,
+  "encoder_hid_dim": null,
+  "encoder_hid_dim_type": null,
+  "flip_sin_to_cos": true,
+  "freq_shift": 0,
+  "in_channels": 4,
+  "layers_per_block": 2,
+  "mid_block_only_cross_attention": null,
+  "mid_block_scale_factor": 1,
+  "mid_block_type": "UNetMidBlock2DCrossAttn",
+  "norm_eps": 1e-05,
+  "norm_num_groups": 32,
+  "num_attention_heads": null,
+  "num_class_embeds": null,
+  "only_cross_attention": false,
+  "out_channels": 4,
+  "projection_class_embeddings_input_dim": 2816,
+  "resnet_out_scale_factor": 1.0,
+  "resnet_skip_time_act": false,
+  "resnet_time_scale_shift": "default",
+  "sample_size": 128,
+  "time_cond_proj_dim": null,
+  "time_embedding_act_fn": null,
+  "time_embedding_dim": null,
+  "time_embedding_type": "positional",
+  "timestep_post_act": null,
+  "transformer_layers_per_block": [
+    1,
+    2,
+    10
+  ],
+  "up_block_types": [
+    "CrossAttnUpBlock2D",
+    "CrossAttnUpBlock2D",
+    "UpBlock2D"
+  ],
+  "upcast_attention": null,
+  "use_linear_projection": true
+}

controlnet/model.onnx

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controlnet/model.onnx.data

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model_index.json

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+{
+  "_class_name": "StableDiffusionXLPipeline",
+  "_diffusers_version": "0.19.0.dev0",
+  "force_zeros_for_empty_prompt": true,
+  "add_watermarker": null,
+  "scheduler": [
+    "diffusers",
+    "EulerDiscreteScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "text_encoder_2": [
+    "transformers",
+    "CLIPTextModelWithProjection"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "tokenizer_2": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

model_template.json

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+{
+    "Id": "E79BD653-4E57-4DC3-B5CD-CA4D822435B8",
+    "FileVersion": "1",
+    "Created": "2024-06-016T00:00:00",
+    "Name": "Zavy Chroma XL",
+    "ImageIcon": "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/Icon.png",
+    "Author": "Zavy",
+    "Description": "A model line that should be a continuance of the ZavyMix SD1.5 model for SDXL. The primary focus is to get a similar feeling in style and uniqueness that model had, where it's good at merging magic with realism, really merging them together seamlessly. Of course with the evolution to SDXL this model should have better quality and coherance for a lot of things, including the eyes and teeth than the SD1.5 models. This model has no need to use the refiner for great results, in fact it usually is preferable to not use the refiner. Recommended to use ultimate SD upscaler to get the most amazing results.",
+    "Rank": 310,
+    "Group": "Online",
+    "Template": "SDXL",
+    "Category": "StableDiffusion",
+    "StableDiffusionTemplate": {
+      "PipelineType": "StableDiffusionXL",
+      "ModelType": "Base",
+      "SampleSize": 1024,
+      "TokenizerLength": 768,
+      "DiffuserTypes": [
+        "TextToImage",
+        "ImageToImage",
+        "ImageInpaintLegacy"
+      ],
+      "SchedulerDefaults": {
+        "SchedulerType": "EulerAncestral",
+        "Steps": 30,
+        "StepsMin": 4,
+        "StepsMax": 100,
+        "Guidance": 5,
+        "GuidanceMin": 0,
+        "GuidanceMax": 30,
+        "TimestepSpacing": "Linspace",
+        "BetaSchedule": "ScaledLinear",
+        "BetaStart": 0.00085,
+        "BetaEnd": 0.012
+      }
+    },
+    "Precision": "F16",
+    "MemoryMin": 6,
+    "MemoryMax": 14,
+    "DownloadSize": 11.2,
+    "Website": "https://civitai.com/models/119229",
+    "Repository": "https://huggingface.co/TensorStack/ZavyChromaXL-onnx",
+    "RepositoryFiles": [
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/controlnet/model.onnx",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/controlnet/model.onnx.data",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/controlnet/config.json",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/scheduler/scheduler_config.json",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/text_encoder/model.onnx",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/text_encoder/config.json",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/text_encoder_2/model.onnx",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/text_encoder_2/config.json",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/tokenizer/merges.txt",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/tokenizer/model.onnx",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/tokenizer/special_tokens_map.json",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/tokenizer/tokenizer_config.json",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/tokenizer/vocab.json",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/tokenizer_2/merges.txt",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/tokenizer_2/model.onnx",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/tokenizer_2/special_tokens_map.json",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/tokenizer_2/tokenizer_config.json",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/tokenizer_2/vocab.json",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/unet/model.onnx",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/unet/model.onnx.data",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/unet/config.json",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/vae_decoder/model.onnx",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/vae_decoder/config.json",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/vae_encoder/model.onnx",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/vae_encoder/config.json",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/model_index.json",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/model_template.json",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/README.md"
+    ],
+    "PreviewImages": [
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/Sample.png",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/Sample2.png",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/Sample3.png",
+      "https://huggingface.co/TensorStack/ZavyChromaXL-onnx/resolve/main/Sample4.png"
+    ],
+    "Tags": [
+      "GPU",
+      "F16"
+    ]
+  }

scheduler/scheduler_config.json

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+  "prediction_type": "epsilon",
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+  "use_karras_sigmas": false
+}

text_encoder/config.json

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unet/config.json

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vae_decoder/config.json

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+  ]
+}

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+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D"
+  ]
+}

vae_encoder/model.onnx

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