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pipeline.json

@@ -0,0 +1,65 @@
+{
+  "args": {
+    "models": {
+      "sparse_structure_decoder": "sparse_structure_decoder/model",
+      "sparse_structure_flow_model": "sparse_structure_flow_model/model",
+      "slat_decoder_gs": "slat_decoder_gs/model",
+      "slat_decoder_rf": "slat_decoder_rf/model",
+      "slat_decoder_mesh": "slat_decoder_mesh/model",
+      "slat_flow_model": "slat_flow_model/model"
+    },
+    "sparse_structure_sampler": {
+      "name": "FlowEulerGuidanceIntervalSampler",
+      "args": {
+        "sigma_min": 1e-05
+      },
+      "params": {
+        "steps": 25,
+        "cfg_strength": 5.0,
+        "cfg_interval": [
+          0.5,
+          1.0
+        ],
+        "rescale_t": 3.0
+      }
+    },
+    "slat_sampler": {
+      "name": "FlowEulerGuidanceIntervalSampler",
+      "args": {
+        "sigma_min": 1e-05
+      },
+      "params": {
+        "steps": 25,
+        "cfg_strength": 5.0,
+        "cfg_interval": [
+          0.5,
+          1.0
+        ],
+        "rescale_t": 3.0
+      }
+    },
+    "slat_normalization": {
+      "mean": [
+        -2.1687545776367188,
+        -0.004347046371549368,
+        -0.13352349400520325,
+        -0.08418072760105133,
+        -0.5271206498146057,
+        0.7238689064979553,
+        -1.1414450407028198,
+        1.2039363384246826
+      ],
+      "std": [
+        2.377650737762451,
+        2.386378288269043,
+        2.124418020248413,
+        2.1748552322387695,
+        2.663944721221924,
+        2.371192216873169,
+        2.6217446327209473,
+        2.684523105621338
+      ]
+    },
+    "image_cond_model": "dinov2_vitl14_reg"
+  }
+}

slat_decoder_gs/model.json

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+{
+  "name": "SLatGaussianDecoder",
+  "args": {
+    "resolution": 64,
+    "model_channels": 768,
+    "latent_channels": 8,
+    "num_blocks": 12,
+    "num_heads": 12,
+    "mlp_ratio": 4,
+    "attn_mode": "swin",
+    "window_size": 8,
+    "use_fp16": true,
+    "representation_config": {
+      "lr": {
+        "_xyz": 1.0,
+        "_features_dc": 1.0,
+        "_opacity": 1.0,
+        "_scaling": 1.0,
+        "_rotation": 0.1
+      },
+      "perturb_offset": true,
+      "voxel_size": 1.5,
+      "num_gaussians": 32,
+      "2d_filter_kernel_size": 0.1,
+      "3d_filter_kernel_size": 0.0009,
+      "scaling_bias": 0.004,
+      "opacity_bias": 0.1,
+      "scaling_activation": "softplus"
+    }
+  }
+}

slat_decoder_gs/model.safetensors

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slat_decoder_mesh/model.json

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+{
+  "name": "SLatMeshDecoder",
+  "args": {
+    "resolution": 64,
+    "model_channels": 768,
+    "latent_channels": 8,
+    "num_blocks": 12,
+    "num_heads": 12,
+    "mlp_ratio": 4,
+    "attn_mode": "swin",
+    "window_size": 8,
+    "use_fp16": true,
+    "representation_config": {
+      "use_color": true
+    }
+  }
+}

slat_decoder_mesh/model.safetensors

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slat_decoder_rf/model.json

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+{
+  "name": "SLatRadianceFieldDecoder",
+  "args": {
+    "resolution": 64,
+    "model_channels": 768,
+    "latent_channels": 8,
+    "num_blocks": 12,
+    "num_heads": 12,
+    "mlp_ratio": 4,
+    "attn_mode": "swin",
+    "window_size": 8,
+    "use_fp16": true,
+    "representation_config": {
+      "rank": 16,
+      "dim": 8
+    }
+  }
+}

slat_decoder_rf/model.safetensors

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slat_flow_model/model.json

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+{
+  "name": "SLatFlowModel",
+  "args": {
+    "resolution": 64,
+    "in_channels": 9,
+    "out_channels": 9,
+    "model_channels": 1024,
+    "cond_channels": 1024,
+    "num_blocks": 24,
+    "num_heads": 16,
+    "mlp_ratio": 4,
+    "patch_size": 2,
+    "num_io_res_blocks": 2,
+    "io_block_channels": [
+      128
+    ],
+    "pe_mode": "ape",
+    "qk_rms_norm": true,
+    "use_fp16": true
+  }
+}

slat_flow_model/model.safetensors

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sparse_structure_decoder/model.json

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+{
+  "name": "SparseStructureDecoder",
+  "args": {
+    "out_channels": 1,
+    "latent_channels": 8,
+    "num_res_blocks": 2,
+    "num_res_blocks_middle": 2,
+    "channels": [
+      512,
+      128,
+      32
+    ],
+    "use_fp16": true
+  }
+}

sparse_structure_decoder/model.safetensors

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sparse_structure_flow_model/model.json

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+{
+  "name": "SparseStructureFlowModel",
+  "args": {
+    "patch_size": 1,
+    "resolution": 16,
+    "use_checkpoint": false,
+    "pe_mode": "ape",
+    "num_blocks": 24,
+    "cond_channels": 1024,
+    "share_mod": false,
+    "mlp_ratio": 4,
+    "qk_rms_norm": true,
+    "qk_rms_norm_cross": false,
+    "model_channels": 1024,
+    "num_heads": 16,
+    "in_channels": 8,
+    "use_fp16": true,
+    "out_channels": 8
+  }
+}

sparse_structure_flow_model/model.safetensors

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