README.md

---
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
---

# Lynx: High-Fidelity Personalized Video Generation (GGUF by Vantage with AI)

**Watch us at Youtube:** [@VantageWithAI](https://www.youtube.com/@vantagewithai)


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 GGUF Quantized versions of the https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Lynx:

- **Lynx Ref. Full Model** (`full_ref`): Complete version with all advanced features and best performance
- **Lynx IP Lite Model** (`lite_ip`): GGUF Quantized version of Lightweight IP model with fewer parameters, 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.