---
library_name: transformers
pipeline_tag: image-text-to-text
---

# PaCo-Reward-7B: A Pairwise Consistency Evaluator from the PaCo-RL Framework

This repository contains **PaCo-Reward-7B**, a key component of the **PaCo-RL** framework, as presented in the paper:
[**PaCo-RL: Advancing Reinforcement Learning for Consistent Image Generation with Pairwise Reward Modeling**](https://huggingface.co/papers/2512.04784)

The **PaCo-RL** framework is designed for consistent image generation through reinforcement learning, aiming to preserve identities, styles, and logical coherence across multiple images for applications like storytelling and character design. **PaCo-Reward-7B** specifically acts as a pairwise consistency evaluator. It is trained on a large-scale dataset constructed via automated sub-figure pairing and evaluates consistency through a generative, autoregressive scoring mechanism, enhanced by task-aware instructions and Chain-of-Thought (CoT) reasoning.

-   **Project Page:** https://x-gengroup.github.io/HomePage_PaCo-RL/
-   **Code Repository:** https://github.com/X-GenGroup/PaCo-RL

## 🌟 Overview

**PaCo-RL** is a comprehensive framework for consistent image generation through reinforcement learning, addressing challenges in preserving identities, styles, and logical coherence across multiple images for storytelling and character design applications.

### Key Components

-   **PaCo-Reward**: A pairwise consistency evaluator with task-aware instruction and CoT reasoning.
-   **PaCo-GRPO**: Efficient RL optimization with resolution-decoupled training and log-tamed multi-reward aggregation

## 🎁 Model Zoo

This model is part of a larger collection of models within the PaCo-RL framework. More related models can be found in the [PaCo-RL Hugging Face collection](https://huggingface.co/collections/X-GenGroup/paco-rl).

| Model                   | Type                | HuggingFace                                                |
| :---------------------- | :------------------ | :--------------------------------------------------------- |
| **PaCo-Reward-7B**      | Reward Model        | [🤗 Link](https://huggingface.co/X-GenGroup/PaCo-Reward-7B)      |
| **PaCo-Reward-7B-Lora** | Reward Model (LoRA) | [🤗 Link](https://huggingface.co/X-GenGroup/PaCo-Reward-7B-Lora) |
| **PaCo-FLUX.1-dev**     | T2I Model (LoRA)    | [🤗 Link](https://huggingface.co/X-GenGroup/PaCo-FLUX.1-dev-Lora) |
| **PaCo-FLUX.1-Kontext-dev** | Image Editing Model (LoRA) | [🤗 Link](https://huggingface.co/X-GenGroup/PaCo-FLUX.1-Kontext-Lora) |
| **PaCo-QwenImage-Edit** | Image Editing Model (LoRA) | [🤗 Link](https://huggingface.co/X-GenGroup/PaCo-Qwen-Image-Edit-Lora) |

## ⭐ Citation

If you find our work helpful or inspiring, please feel free to cite it:

```bibtex
@misc{ping2025pacorladvancingreinforcementlearning,
      title={PaCo-RL: Advancing Reinforcement Learning for Consistent Image Generation with Pairwise Reward Modeling}, 
      author={Bowen Ping and Chengyou Jia and Minnan Luo and Changliang Xia and Xin Shen and Zhuohang Dang and Hangwei Qian},
      year={2025},
      eprint={2512.04784},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2512.04784}, 
}
```