--- license: apache-2.0 pipeline_tag: image-to-video library_name: diffusers --- # One-to-All Animation: Alignment-Free Character Animation and Image Pose Transfer This repository contains the model and code for the paper [One-to-All Animation: Alignment-Free Character Animation and Image Pose Transfer](https://huggingface.co/papers/2511.22940). This project aims to provide a unified framework for high-fidelity character animation and image pose transfer for references with arbitrary layouts, addressing limitations in existing diffusion models regarding spatially misaligned reference-pose pairs. - 📄 [Paper](https://huggingface.co/papers/2511.22940) - 🌐 [Project Page](https://ssj9596.github.io/one-to-all-animation-project/) - 💻 [Code on GitHub](https://github.com/ssj9596/One-to-All-Animation) ## 🎭 Showcase Our model can adapt a single reference image to various motion patterns, demonstrating flexible motion control capabilities. #### 14B Model
Reference Motion 1 Motion 2 Motion 3

#### 1.3B Model The 1.3 B model also delivers strong performance (from 1.3b_2 ckpt).
Reference Motion 1 Motion 2 Motion 3
Also support longer video & out-of-domain cases
    

## Acknowledgments Our project is based on [opensora](https://github.com/hpcaitech/Open-Sora). Some codes are brought from [StableAnimator](https://github.com/Francis-Rings/StableAnimator) and [Wan-Animate](https://github.com/Wan-Video/Wan2.2). Thanks for their awesome works. ## 📧 Contact If you have any questions, please feel free to reach us at `ssj180123@gmail.com` ## 📝 Citation If you find our work helpful or inspiring, please feel free to cite it. ```bibtex @article{shi2025one, title={One-to-All Animation: Alignment-Free Character Animation and Image Pose Transfer}, author={Shi, Shijun and Xu, Jing and Li, Zhihang and Peng, Chunli and Yang, Xiaoda and Lu, Lijing and Hu, Kai and Zhang, Jiangning}, journal={arXiv preprint arXiv:2511.22940}, year={2025} } ```