---
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 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/)
- 💻 [GitHub Repository](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
## Usage
For detailed installation instructions, quick inference examples, and training scripts, please refer to the [GitHub repository](https://github.com/ssj9596/One-to-All-Animation).
## 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}
}
```