Update README.md

README.md

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----
-license: apache-2.0
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+---
+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
+
+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 the original Bytedance's Lynx model variants:
+
+- **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.