CodeGoat24/Wan2.1-T2V-14B-UnifiedReward-Flex-lora

Model Summary

This model is trained using UnifiedReward-Flex as reward on the training dataset of UniGenBench.

🚀 The inference code is available at Github.

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

Citation

@article{unifiedreward-flex,
  title={Unified Personalized Reward Model for Vision Generation},
  author={Wang, Yibin and Zang, Yuhang and Han, Feng and Zhou, Yujie and Bu, Jiazi and Jin, Cheng and Wang, Jiaqi},
  journal={arXiv preprint arXiv:2602.02380},
  year={2026}
}