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:
@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 file for details.
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Model tree for vantagewithai/Lynx-GGUF
Base model
Wan-AI/Wan2.1-T2V-14B