README.md

---
base_model:
- showlab/show-o-w-clip-vit
datasets:
- brivangl/midjourney-v6-llava
language:
- en
- zh
license: apache-2.0
pipeline_tag: text-to-image
library_name: diffusers
---

# Show-o-RecA

> A self-supervised training framework that aligns understanding and generation in modest compute, with huge **zero-shot** gain on generation and editing capability.

This repository hosts the model weights for **Show-o-RecA**. For installation, usage instructions, and further documentation, please visit Show-o's original [GitHub repository](https://github.com/showlab/Show-o).

## 🧠 Method

  [![Paper](https://img.shields.io/badge/paper-A42C25?style=for-the-badge&logo=arxiv&logoColor=white)](https://arxiv.org/pdf/2509.07295)
  [![ArXiv](https://img.shields.io/badge/arXiv-A42C25?style=for-the-badge&logo=arxiv&logoColor=white&color=blue)](https://arxiv.org/abs/2509.07295)
  [![Hugging Face Paper](https://img.shields.io/badge/%F0%9F%A4%97_Hugging_Face-Paper-yellow)](https://huggingface.co/papers/2509.07295)
  [![Github](https://img.shields.io/badge/RecA-000000?style=for-the-badge&logo=github&logoColor=000&logoColor=white)](https://github.com/HorizonWind2004/reconstruction-alignment)
  [![Hugging Face Collection](https://img.shields.io/badge/HF_Models-fcd022?style=for-the-badge&logo=huggingface&logoColor=000)](https://huggingface.co/collections/sanaka87/realign-68ad2176380355a3dcedc068)
  [![HF Demo](https://img.shields.io/badge/Demo_(BAGEL)-fcd022?style=for-the-badge&logo=huggingface&logoColor=000)](https://huggingface.co/spaces/sanaka87/BAGEL-ReAlign)
  [![Project Page](https://img.shields.io/badge/Project_Page-00CED1?style=for-the-badge&logo=web&logoColor=white)](https://reconstruction-alignment.github.io/)


## 📊 Benchmarks

| Model        | GenEval ↑ | DPGBench ↑ | WISE ↑ |
| ------------ | --------- | --------- | --------- |
| **Show-o**    | 0.57  | 70.65  | 0.33 |
| **Show-o-RecA**    | **0.62**  | **75.70** | **0.34** |

## License

Show-o-RecA is licensed under the Apache 2.0 license. 

## ✍️ Citation

If you find our work inspiring or use our codebase in your research, please consider giving a star ⭐ and a citation~

@misc{xie2025reconstructionalignmentimprovesunified,
      title={Reconstruction Alignment Improves Unified Multimodal Models}, 
      author={Ji Xie and Trevor Darrell and Luke Zettlemoyer and XuDong Wang},
      year={2025},
      eprint={2509.07295},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2509.07295}, 
}