Create README.md

README.md

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+---
+library_name: diffusers
+license: mit
+pipeline_tag: text-to-video
+base_model:
+- Wan-AI/Wan2.2-T2V-A14B
+---
+
+# Model Summary
+This model is GRPO trained using [UnifiedReward-Flex](https://huggingface.co/collections/CodeGoat24/unifiedreward-flex) as reward on the training dataset of [UniGenBench](https://github.com/CodeGoat24/UniGenBench).
+
+🚀 The inference code is available at [Github](https://github.com/CodeGoat24/Pref-GRPO/blob/main/inference/wan22_dist_infer.sh).
+
+
+For further details, please refer to the following resources:
+- 📰 Paper: https://arxiv.org/abs/2602.02380
+- 🪐 Project Page: https://codegoat24.github.io/UnifiedReward/flex
+- 🤗 Model Collections: https://huggingface.co/collections/CodeGoat24/unifiedreward-flex
+- 🤗 Dataset: https://huggingface.co/datasets/CodeGoat24/UnifiedReward-Flex-SFT-90K
+- 👋 Point of Contact: [Yibin Wang](https://codegoat24.github.io)
+
+More generated videos are shown in [project page](https://codegoat24.github.io/UnifiedReward/flex) (bottom).
+
+![image](https://cdn-uploads.huggingface.co/production/uploads/654c6845bac6e6e49895a5b5/kXyMgKm3nnw_caoiwhqNt.png)
+
+
+
+![image](https://cdn-uploads.huggingface.co/production/uploads/654c6845bac6e6e49895a5b5/HJ9OXrSgBM7jZppAKgjeX.png)
+## Citation
+
+```bibtex
+@article{unifiedreward-flex,
+  title={Unified Personalized Reward Model for Vision Generation},
+  author={Wang, Yibin and Zang, Yuhang and Han, Feng and Bu, Jiazi and Zhou, Yujie and Jin, Cheng and Wang, Jiaqi},
+  journal={arXiv preprint arXiv:2602.02380},
+  year={2026}
+}
+```