---
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 |
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#### 1.3B Model
The 1.3 B model also delivers strong performance (from 1.3b_2 ckpt).
| Reference |
Motion 1 |
Motion 2 |
Motion 3 |
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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 Transfe},
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}
}
```