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README.md

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+---
+library_name: diffusers
+tags:
+- pruna-ai
+---
+
+# Model Card for davidberenstein1957/stable-diffusion-v1-4-smashed-1
+
+This model was created using the [pruna](https://github.com/PrunaAI/pruna) library. Pruna is a model optimization framework built for developers, enabling you to deliver more efficient models with minimal implementation overhead.
+
+## Usage
+
+First things first, you need to install the pruna library:
+
+```bash
+pip install "pruna[full]"
+```
+
+You can then load this model using the following code:
+
+```python
+from pruna import PrunaModel
+
+loaded_model = PrunaModel.from_hub(
+    "davidberenstein1957/stable-diffusion-v1-4-smashed-1"
+)
+```
+
+After loading the model, you can use the inference methods of the original model.
+
+## Smash Configuration
+
+The compression configuration of the model is stored in the `smash_config.json` file.
+
+```bash
+{
+    "batcher": null,
+    "cacher": "deepcache",
+    "compiler": null,
+    "pruner": null,
+    "quantizer": null,
+    "deepcache_interval": 2,
+    "max_batch_size": 1,
+    "device": "cuda",
+    "save_fns": [],
+    "load_fns": [
+        "diffusers"
+    ],
+    "reapply_after_load": {
+        "pruner": null,
+        "quantizer": null,
+        "cacher": "deepcache",
+        "compiler": null,
+        "batcher": null
+    }
+}
+```
+
+## Model Configuration
+
+The configuration of the model is stored in the `*.json` files.
+
+```bash
+{
+    "model_index": {
+        "_class_name": "StableDiffusionPipeline",
+        "_diffusers_version": "0.33.1",
+        "_name_or_path": "CompVis/stable-diffusion-v1-4",
+        "feature_extractor": [
+            "transformers",
+            "CLIPImageProcessor"
+        ],
+        "image_encoder": [
+            null,
+            null
+        ],
+        "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"
+        ]
+    }
+}
+```
+
+## 🌍 Join the Pruna AI community!
+
+[![Twitter](https://img.shields.io/twitter/follow/PrunaAI?style=social)](https://twitter.com/PrunaAI)
+[![GitHub](https://img.shields.io/github/followers/PrunaAI?label=Follow%20%40PrunaAI&style=social)](https://github.com/PrunaAI)
+[![LinkedIn](https://img.shields.io/badge/LinkedIn-Connect-blue)](https://www.linkedin.com/company/93832878/admin/feed/posts/?feedType=following)
+[![Discord](https://img.shields.io/badge/Discord-Join%20Us-blue?style=social&logo=discord)](https://discord.com/invite/rskEr4BZJx)
+[![Reddit](https://img.shields.io/reddit/subreddit-subscribers/PrunaAI?style=social)](https://www.reddit.com/r/PrunaAI/)

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,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "CLIPImageProcessor",
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

model_index.json

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+{
+  "_class_name": "StableDiffusionPipeline",
+  "_diffusers_version": "0.33.1",
+  "_name_or_path": "CompVis/stable-diffusion-v1-4",
+  "feature_extractor": [
+    "transformers",
+    "CLIPImageProcessor"
+  ],
+  "image_encoder": [
+    null,
+    null
+  ],
+  "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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+{
+  "architectures": [
+    "StableDiffusionSafetyChecker"
+  ],
+  "initializer_factor": 1.0,
+  "logit_scale_init_value": 2.6592,
+  "model_type": "clip",
+  "projection_dim": 768,
+  "text_config": {
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+    "dropout": 0.0,
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+    "initializer_factor": 1.0,
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+    "layer_norm_eps": 1e-05,
+    "max_position_embeddings": 77,
+    "model_type": "clip_text_model",
+    "num_attention_heads": 12,
+    "num_hidden_layers": 12,
+    "projection_dim": 512,
+    "torch_dtype": "float32",
+    "vocab_size": 49408
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.51.3",
+  "vision_config": {
+    "_attn_implementation_autoset": true,
+    "attention_dropout": 0.0,
+    "dropout": 0.0,
+    "hidden_act": "quick_gelu",
+    "hidden_size": 1024,
+    "image_size": 224,
+    "initializer_factor": 1.0,
+    "initializer_range": 0.02,
+    "intermediate_size": 4096,
+    "layer_norm_eps": 1e-05,
+    "model_type": "clip_vision_model",
+    "num_attention_heads": 16,
+    "num_channels": 3,
+    "num_hidden_layers": 24,
+    "patch_size": 14,
+    "projection_dim": 512,
+    "torch_dtype": "float32"
+  }
+}

safety_checker/model.safetensors

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scheduler/scheduler_config.json

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+{
+  "_class_name": "PNDMScheduler",
+  "_diffusers_version": "0.33.1",
+  "beta_end": 0.012,
+  "beta_schedule": "scaled_linear",
+  "beta_start": 0.00085,
+  "clip_sample": false,
+  "num_train_timesteps": 1000,
+  "prediction_type": "epsilon",
+  "set_alpha_to_one": false,
+  "skip_prk_steps": true,
+  "steps_offset": 1,
+  "timestep_spacing": "leading",
+  "trained_betas": null
+}

smash_config.json

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+{
+    "batcher": null,
+    "cacher": "deepcache",
+    "compiler": null,
+    "pruner": null,
+    "quantizer": null,
+    "deepcache_interval": 2,
+    "max_batch_size": 1,
+    "device": "cuda",
+    "save_fns": [],
+    "load_fns": [
+        "diffusers"
+    ],
+    "reapply_after_load": {
+        "pruner": null,
+        "quantizer": null,
+        "cacher": "deepcache",
+        "compiler": null,
+        "batcher": null
+    }
+}

text_encoder/config.json

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+{
+  "architectures": [
+    "CLIPTextModel"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "dropout": 0.0,
+  "eos_token_id": 2,
+  "hidden_act": "quick_gelu",
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+  "initializer_factor": 1.0,
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+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 77,
+  "model_type": "clip_text_model",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "projection_dim": 512,
+  "torch_dtype": "float32",
+  "transformers_version": "4.51.3",
+  "vocab_size": 49408
+}

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tokenizer/special_tokens_map.json

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+    "normalized": true,
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+    "single_word": false
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+    "rstrip": false,
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+  "pad_token": "<|endoftext|>",
+  "unk_token": {
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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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+  "added_tokens_decoder": {
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+  "model_max_length": 77,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "CLIPTokenizer",
+  "unk_token": "<|endoftext|>"
+}

unet/config.json

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+  "_class_name": "UNet2DConditionModel",
+  "_diffusers_version": "0.33.1",
+  "_name_or_path": "/Users/davidberenstein/.cache/huggingface/hub/models--CompVis--stable-diffusion-v1-4/snapshots/133a221b8aa7292a167afc5127cb63fb5005638b/unet",
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vae/config.json

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