| | --- |
| | title: BrushNet |
| | emoji: ⚡ |
| | colorFrom: yellow |
| | colorTo: indigo |
| | sdk: gradio |
| | sdk_version: 5.0.2 |
| | python_version: 3.10.2 |
| | app_file: app.py |
| | pinned: false |
| | license: apache-2.0 |
| | short_description: Image Inpainting Model with Decomposed Dual-Branch Diffusion |
| | --- |
| | |
| | # BrushNet |
| |
|
| | This repository contains the gradio demo of the paper "BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion" |
| |
|
| | Keywords: Image Inpainting, Diffusion Models, Image Generation |
| |
|
| | > [Xuan Ju](https://github.com/juxuan27)<sup>12</sup>, [Xian Liu](https://alvinliu0.github.io/)<sup>12</sup>, [Xintao Wang](https://xinntao.github.io/)<sup>1*</sup>, [Yuxuan Bian](https://scholar.google.com.hk/citations?user=HzemVzoAAAAJ&hl=zh-CN&oi=ao)<sup>2</sup>, [Ying Shan](https://www.linkedin.com/in/YingShanProfile/)<sup>1</sup>, [Qiang Xu](https://cure-lab.github.io/)<sup>2*</sup><br> |
| | > <sup>1</sup>ARC Lab, Tencent PCG <sup>2</sup>The Chinese University of Hong Kong <sup>*</sup>Corresponding Author |
| | |
| | |
| | <p align="center"> |
| | <a href="https://tencentarc.github.io/BrushNet/">Project Page</a> | |
| | <a href="https://github.com/TencentARC/BrushNet">Code</a> | |
| | <a href="https://arxiv.org/abs/2403.06976">Arxiv</a> | |
| | <a href="https://forms.gle/9TgMZ8tm49UYsZ9s5">Data</a> | |
| | <a href="https://drive.google.com/file/d/1IkEBWcd2Fui2WHcckap4QFPcCI0gkHBh/view">Video</a> | |
| | </p> |
| | |
| | |
| | ## 🤝🏼 Cite Us |
| | |
| | ``` |
| | @misc{ju2024brushnet, |
| | title={BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion}, |
| | author={Xuan Ju and Xian Liu and Xintao Wang and Yuxuan Bian and Ying Shan and Qiang Xu}, |
| | year={2024}, |
| | eprint={2403.06976}, |
| | archivePrefix={arXiv}, |
| | primaryClass={cs.CV} |
| | } |
| | ``` |
| | |
| | |
| | ## 💖 Acknowledgement |
| | <span id="acknowledgement"></span> |
| | |
| | Our code is modified based on [diffusers](https://github.com/huggingface/diffusers), thanks to all the contributors! |