| --- |
| tags: |
| - image-to-video |
| - video-generation |
| - personalized-video |
| - identity-preservation |
| pipeline_tag: image-to-video |
| license: apache-2.0 |
| base_model: |
| - Wan-AI/Wan2.1-T2V-14B |
| --- |
| |
| <div align="center"> |
|
|
| # Lynx: High-Fidelity Personalized Video Generation |
|
|
| <a href="https://arxiv.org/abs/2509.15496"><img src="https://img.shields.io/badge/arXiv-2509.15496-b31b1b.svg"/></a> |
| <a href="https://byteaigc.github.io/Lynx/"><img src="https://img.shields.io/badge/Project-Page-green.svg"/></a> |
| <a href="https://github.com/bytedance/lynx"><img src="https://img.shields.io/badge/GitHub-Repo-blue.svg"/></a> |
|
|
| <h5 style="font-size:1.1em; letter-spacing:0.5px;"> |
| <a href="https://ssangx.github.io/">Shen Sang*</a> |
| <a href="https://tiancheng-zhi.github.io/">Tiancheng Zhi*</a> |
| <a href="https://gutianpei.github.io/">Tianpei Gu</a> |
| <a href="https://www.jingliu.net/">Jing Liu</a> |
| <a href="https://linjieluo.github.io/">Linjie Luo</a> |
| </h5> |
|
|
| <p style="font-size: 1.05em; margin: 8px 0;"> |
| Intelligent Creation, ByteDance |
| </p> |
|
|
| <p style="font-size: 0.95em; font-style: italic;"> |
| * Equal Contribution |
| </p> |
|
|
| <br> |
| <img src="assets/teaser.jpg" width="400"/> |
|
|
| </div> |
|
|
| Lynx is a state-of-the-art high-fidelity personalized video generation model that creates videos from a single input image while preserving the subject's identity. Built on a Diffusion Transformer (DiT) foundation model with lightweight ID-adapters and Ref-adapters for identity preservation and spatial detail enhancement. |
|
|
| ## Model Variants |
|
|
| This repository contains two model variants: |
|
|
| - **Lynx Full Model** (`lynx_full`): Complete version with all advanced features and best performance |
| - **Lynx Lite Model** (`lynx_lite`): Lightweight model with fewer parameters (no Ref-adapter), tailored for efficient 24fps (121-frame) video generation. |
|
|
| ## Citation |
|
|
| If you use this model in your research, please cite: |
|
|
| ```bibtex |
| @article{sang2025lynx, |
| title={Lynx: Towards High-Fidelity Personalized Video Generation}, |
| author={Sang, Shen and Zhi, Tiancheng and Gu, Tianpei and Liu, Jing and Luo, Linjie}, |
| journal={arXiv preprint arXiv:2509.15496}, |
| year={2025} |
| } |
| ``` |
|
|
| ## License |
|
|
| This model is licensed under the Apache License 2.0. See the [LICENSE](LICENSE) file for details. |
