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--- |
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library_name: transformers |
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pipeline_tag: image-text-to-text |
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--- |
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# PaCo-Reward-7B: A Pairwise Consistency Evaluator from the PaCo-RL Framework |
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This repository contains **PaCo-Reward-7B**, a key component of the **PaCo-RL** framework, as presented in the paper: |
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[**PaCo-RL: Advancing Reinforcement Learning for Consistent Image Generation with Pairwise Reward Modeling**](https://huggingface.co/papers/2512.04784) |
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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. |
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- **Project Page:** https://x-gengroup.github.io/HomePage_PaCo-RL/ |
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- **Code Repository:** https://github.com/X-GenGroup/PaCo-RL |
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## 🌟 Overview |
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**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. |
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### Key Components |
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- **PaCo-Reward**: A pairwise consistency evaluator with task-aware instruction and CoT reasoning. |
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- **PaCo-GRPO**: Efficient RL optimization with resolution-decoupled training and log-tamed multi-reward aggregation |
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## 🎁 Model Zoo |
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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). |
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| Model | Type | HuggingFace | |
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| :---------------------- | :------------------ | :--------------------------------------------------------- | |
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| **PaCo-Reward-7B** | Reward Model | [🤗 Link](https://huggingface.co/X-GenGroup/PaCo-Reward-7B) | |
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| **PaCo-Reward-7B-Lora** | Reward Model (LoRA) | [🤗 Link](https://huggingface.co/X-GenGroup/PaCo-Reward-7B-Lora) | |
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| **PaCo-FLUX.1-dev** | T2I Model (LoRA) | [🤗 Link](https://huggingface.co/X-GenGroup/PaCo-FLUX.1-dev-Lora) | |
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| **PaCo-FLUX.1-Kontext-dev** | Image Editing Model (LoRA) | [🤗 Link](https://huggingface.co/X-GenGroup/PaCo-FLUX.1-Kontext-Lora) | |
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| **PaCo-QwenImage-Edit** | Image Editing Model (LoRA) | [🤗 Link](https://huggingface.co/X-GenGroup/PaCo-Qwen-Image-Edit-Lora) | |
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## ⭐ Citation |
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If you find our work helpful or inspiring, please feel free to cite it: |
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```bibtex |
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@misc{ping2025pacorladvancingreinforcementlearning, |
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title={PaCo-RL: Advancing Reinforcement Learning for Consistent Image Generation with Pairwise Reward Modeling}, |
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author={Bowen Ping and Chengyou Jia and Minnan Luo and Changliang Xia and Xin Shen and Zhuohang Dang and Hangwei Qian}, |
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year={2025}, |
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eprint={2512.04784}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CV}, |
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url={https://arxiv.org/abs/2512.04784}, |
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} |
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``` |
