Improve model card: Add pipeline tag, library name, links, and description

This PR significantly enhances the model card for the "One-to-All Animation" model by adding:
- The `pipeline_tag: image-to-video` to categorize the model accurately on the Hugging Face Hub.
- Specifying `library_name: diffusers` as the model's training is based on the Diffusers library, which will enable the "Use in Diffusers" widget.
- Including direct links to the paper on Hugging Face, the dedicated project page, and the GitHub repository.
- Providing a clear, concise introduction to the model's capabilities.
- Incorporating a visual showcase with animated examples to demonstrate the model in action.
- Adding the BibTeX citation.

These updates will make the model more discoverable and easier to understand for the community.

README.md

@@ -1,3 +1,34 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+pipeline_tag: image-to-video
+library_name: diffusers
+---
+
+# One-to-All Animation: Alignment-Free Character Animation and Image Pose Transfer
+
+One-to-All Animation is a unified framework for high-fidelity character animation and image pose transfer for references with arbitrary layouts. It addresses limitations of prior methods by handling spatially misaligned and partially visible references through self-supervised outpainting, a comprehensive identity feature extractor, and hybrid reference fusion attention.
+
+- 📚 [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 - 1.3B Model Results
+
+<p align="center">
+  <img src="https://github.com/ssj9596/One-to-All-Animation/raw/main/assets/combined_video1.gif" height="300"/> &nbsp;&nbsp; <img src="https://github.com/ssj9596/One-to-All-Animation/raw/main/assets/combined_video2.gif" height="300"/>
+</p>
+
+## 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{zhou2024learning,
+  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},
+}
+```