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README.md

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+---
+license: cc-by-nc-4.0
+library_name: diffusers
+tags:
+- text-to-image
+- stable-diffusion
+- diffusion distillation
+---
+
+# SwiftBrush Model Card
+
+> [**SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation**](https://arxiv.org/abs/2405.14867),            
+> Thuan Hoang Nguyen, Anh Tran
+
+## Note
+
+This model is outdated and for research purpose only. Information about a superior version, SwiftBrush v2, is available [here](https://swiftbrushv2.github.io/).        
+
+## Contact 
+
+Feel free to contact us if you have any questions about the paper!
+
+Thuan Hoang Nguyen [v.thuannh5@vinai.io](mailto:v.thuannh5@vinai.io)
+
+For more information, please refer to the [code repository](https://github.com/VinAIResearch/SwiftBrush)
+
+
+## License
+
+SwiftBrush is released under [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License](https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en).
+
+
+## Citation 
+
+If you find SwiftBrush useful or relevant to your research, please kindly cite our papers:
+
+```bib
+@InProceedings{nguyen2023swiftbrush,
+  title={SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation},
+  author={Thuan Hoang Nguyen and Anh Tran},
+  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
+  year={2024}
+}
+```
+
+
+## Acknowledgments 
+
+We give thanks to Uy Dieu Tran for early discussions as well as providing many helpful comments and suggestions throughout the project. Special thanks to Trung Tuan Dao for valuable feedback and support. Last but not least, we thank Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su and Jun Zhu for the work of ProlificDreamer as well as Huggingface team for the diffusers framework.

feature_extractor/preprocessor_config.json

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+    "width": 224
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+  "do_normalize": true,
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+  "feature_extractor_type": "CLIPFeatureExtractor",
+  "image_mean": [
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+    0.4578275,
+    0.40821073
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+  "image_std": [
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+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
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+  }
+}

model_index.json

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+{
+  "_class_name": "StableDiffusionPipeline",
+  "_diffusers_version": "0.27.1",
+  "_name_or_path": "stabilityai/stable-diffusion-2-1-base",
+  "feature_extractor": [
+    "transformers",
+    "CLIPImageProcessor"
+  ],
+  "image_encoder": [
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+  ],
+  "requires_safety_checker": false,
+  "safety_checker": [
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+    null
+  ],
+  "scheduler": [
+    "diffusers",
+    "PNDMScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

scheduler/scheduler_config.json

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+  "_diffusers_version": "0.27.1",
+  "beta_end": 0.012,
+  "beta_schedule": "scaled_linear",
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+  "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",
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+}

text_encoder/config.json

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+  "dropout": 0.0,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
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+  "initializer_factor": 1.0,
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+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
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+  "model_type": "clip_text_model",
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+  "num_hidden_layers": 23,
+  "pad_token_id": 1,
+  "projection_dim": 512,
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.2",
+  "vocab_size": 49408
+}

text_encoder/model.safetensors

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tokenizer/special_tokens_map.json

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tokenizer/tokenizer_config.json

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+  "errors": "replace",
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+  "pad_token": "!",
+  "tokenizer_class": "CLIPTokenizer",
+  "unk_token": "<|endoftext|>"
+}

unet/config.json

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vae/config.json

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