End of training

.gitignore

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+step_*
+checkpoint-*
+checkpoint-*

feature_extractor/preprocessor_config.json

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+{
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
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+  "rescale_factor": 0.00392156862745098,
+  "size": {
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+}

model_index.json

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+{
+  "_class_name": "StableDiffusionInstructPix2PixPipeline",
+  "_diffusers_version": "0.30.3",
+  "_name_or_path": "timbrooks/instruct-pix2pix",
+  "feature_extractor": [
+    "transformers",
+    "CLIPImageProcessor"
+  ],
+  "image_encoder": [
+    null,
+    null
+  ],
+  "requires_safety_checker": false,
+  "safety_checker": [
+    "stable_diffusion",
+    "StableDiffusionSafetyChecker"
+  ],
+  "scheduler": [
+    "diffusers",
+    "EulerAncestralDiscreteScheduler"
+  ],
+  "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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+    "StableDiffusionSafetyChecker"
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+  "model_type": "clip",
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+  "text_config": {
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+    "intermediate_size": 3072,
+    "model_type": "clip_text_model",
+    "num_attention_heads": 12
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+  "transformers_version": "4.45.1",
+  "vision_config": {
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+    "hidden_size": 1024,
+    "intermediate_size": 4096,
+    "model_type": "clip_vision_model",
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+    "num_hidden_layers": 24,
+    "patch_size": 14
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+}

safety_checker/model.safetensors

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scheduler/scheduler_config.json

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+{
+  "_class_name": "EulerAncestralDiscreteScheduler",
+  "_diffusers_version": "0.30.3",
+  "algorithm_type": "dpmsolver++",
+  "beta_end": 0.012,
+  "beta_schedule": "scaled_linear",
+  "beta_start": 0.00085,
+  "clip_sample": false,
+  "dynamic_thresholding_ratio": 0.995,
+  "lower_order_final": true,
+  "num_train_timesteps": 1000,
+  "prediction_type": "epsilon",
+  "rescale_betas_zero_snr": false,
+  "sample_max_value": 1.0,
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+  "thresholding": false,
+  "timestep_spacing": "linspace",
+  "trained_betas": null
+}

text_encoder/config.json

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+{
+  "_name_or_path": "timbrooks/instruct-pix2pix",
+  "architectures": [
+    "CLIPTextModel"
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+  "hidden_act": "quick_gelu",
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+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
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+  "model_type": "clip_text_model",
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+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "projection_dim": 768,
+  "torch_dtype": "float16",
+  "transformers_version": "4.45.1",
+  "vocab_size": 49408
+}

text_encoder/model.safetensors

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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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tokenizer/tokenizer_config.json

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+  "clean_up_tokenization_spaces": false,
+  "do_lower_case": true,
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+  "errors": "replace",
+  "model_max_length": 77,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "CLIPTokenizer",
+  "unk_token": "<|endoftext|>"
+}

unet/config.json

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+  "_diffusers_version": "0.30.3",
+  "_name_or_path": "timbrooks/instruct-pix2pix",
+  "act_fn": "silu",
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unet/diffusion_pytorch_model.safetensors

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vae/config.json

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