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feature_extractor/preprocessor_config.json

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+{
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
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+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
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+  "feature_extractor_type": "CLIPFeatureExtractor",
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+    0.40821073
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+}

model_index.json

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+{
+  "_class_name": "StableDiffusionPipeline",
+  "_diffusers_version": "0.16.1",
+  "feature_extractor": [
+    "transformers",
+    "CLIPFeatureExtractor"
+  ],
+  "requires_safety_checker": true,
+  "safety_checker": [
+    "stable_diffusion",
+    "StableDiffusionSafetyChecker"
+  ],
+  "scheduler": [
+    "diffusers",
+    "PNDMScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

safety_checker/config.json

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+{
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+  "_name_or_path": "CompVis/stable-diffusion-safety-checker",
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safety_checker/pytorch_model.bin

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scheduler/scheduler_config.json

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+  "beta_schedule": "scaled_linear",
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+  "skip_prk_steps": true,
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text_encoder/config.json

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+{
+  "_name_or_path": "CompVis/stable-diffusion-v1-4",
+  "architectures": [
+    "CLIPTextModel"
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text_encoder/pytorch_model.bin

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tokenizer/special_tokens_map.json

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tokenizer/tokenizer_config.json

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+}

unet/config.json

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unet/diffusion_pytorch_model.bin

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vae/config.json

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