--- 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

#### 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
    

## 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} } ```