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library_name: diffusers
license: mit
pipeline_tag: text-to-image
base_model:
- black-forest-labs/FLUX.1-dev
---
# 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/flux_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)
# Qualitative Results
# Quantitative Results
## 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}
}
``` |