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feature_extractor/preprocessor_config.json

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+{
+  "crop_size": 224,
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_resize": true,
+  "feature_extractor_type": "CLIPFeatureExtractor",
+  "image_mean": [
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+    0.4578275,
+    0.40821073
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+    0.26130258,
+    0.27577711
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+  "resample": 3,
+  "size": 224
+}

model_index.json

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+{
+  "_class_name": "StableDiffusionPipeline",
+  "_diffusers_version": "0.4.0.dev0",
+  "feature_extractor": [
+    "transformers",
+    "CLIPFeatureExtractor"
+  ],
+  "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": "dreambooth-concept/safety_checker",
+  "architectures": [
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safety_checker/pytorch_model.bin

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scheduler/scheduler_config.json

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+{
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+  "beta_end": 0.012,
+  "beta_schedule": "scaled_linear",
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+  "set_alpha_to_one": false,
+  "skip_prk_steps": true,
+  "steps_offset": 1,
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+}

text_encoder/config.json

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+{
+  "_name_or_path": "dreambooth-concept/text_encoder",
+  "architectures": [
+    "CLIPTextModel"
+  ],
+  "attention_dropout": 0.0,
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text_encoder/pytorch_model.bin

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tokenizer/special_tokens_map.json

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+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+    "single_word": false
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+}

tokenizer/tokenizer_config.json

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+{
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+  "bos_token": {
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+    "content": "<|startoftext|>",
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+    "single_word": false
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+  "model_max_length": 77,
+  "name_or_path": "dreambooth-concept/tokenizer",
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+  "special_tokens_map_file": "./special_tokens_map.json",
+  "tokenizer_class": "CLIPTokenizer",
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+    "content": "<|endoftext|>",
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+  }
+}

unet/config.json

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+{
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+  "_diffusers_version": "0.4.0.dev0",
+  "_name_or_path": "dreambooth-concept/unet",
+  "act_fn": "silu",
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+  "block_out_channels": [
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+  "cross_attention_dim": 768,
+  "down_block_types": [
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+  "flip_sin_to_cos": true,
+  "freq_shift": 0,
+  "in_channels": 4,
+  "layers_per_block": 2,
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+  "up_block_types": [
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unet/diffusion_pytorch_model.bin

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vae/config.json

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+{
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+  "act_fn": "silu",
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+}

vae/diffusion_pytorch_model.bin

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