Add model card for PaCo-Reward-7B with metadata, paper, project, and code links

README.md

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+---
+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}, 
+}
+```