README.md

---
license: apache-2.0
pipeline_tag: any-to-any
tags:
- Diffusion Large Language Model
- Multi-Modal Generation and Understanding
---

# 💡 OmniGen2-MICo • OmniGen2-Variant finetuned on Multi-Image Composition Dataset (MICo-150K)

  [![Paper](https://img.shields.io/badge/paper-A42C25?style=for-the-badge&logo=arxiv&logoColor=white)](https://www.arxiv.org/pdf/2512.07348)
  [![ArXiv](https://img.shields.io/badge/arXiv-A42C25?style=for-the-badge&logo=arxiv&logoColor=white&color=blue)](https://www.arxiv.org/abs/2512.07348)
  [![Github](https://img.shields.io/badge/MICo150K-000000?style=for-the-badge&logo=github&logoColor=000&logoColor=white)](https://github.com/A113N-W3I/MICo-150K)
  [![Project Page](https://img.shields.io/badge/Project_Page-00CED1?style=for-the-badge&logo=web&logoColor=white)](https://mico-150k.github.io/)


<!-- <p align="left">
  <a href="https://mico-150k.github.io/">
    <img
      src="https://img.shields.io/badge/MICo-Website-0A66C2?logo=safari&logoColor=white" style="display: inline-block; vertical-align: middle;"
      alt="MICo Website"
    />
  </a>
  <a href="https://www.arxiv.org/abs/2512.07348">
    <img
      src="https://img.shields.io/badge/MICo-Paper-red?logo=arxiv&logoColor=red" style="display: inline-block; vertical-align: middle;"
      alt="MICo Paper on arXiv"
    />
  </a>
  <a href="https://github.com/A113N-W3I/MICo-150K" target="_blank" style="margin: 2px;">
      <img 
        alt="Github" src="https://img.shields.io/badge/MICo-Bench-536af5?color=536af5&logo=github" style="display: inline-block; vertical-align: middle;"
        alt="MICo Bench"
      />
  </a>
  
</p> -->


## 🎨 Demo

Since [OmniGen2](https://huggingface.co/OmniGen2/OmniGen2) naturally supports multi-reference generation, here we give some comparisons against [OmniGen2](https://huggingface.co/OmniGen2/OmniGen2).


![image](https://cdn-uploads.huggingface.co/production/uploads/655db6a58c2d4379a70837c0/cM9IcdPVO5k67U8MBNEz4.png)

![image](https://cdn-uploads.huggingface.co/production/uploads/655db6a58c2d4379a70837c0/2uZWMesZDQOtRoRLw40_D.png)

![image](https://cdn-uploads.huggingface.co/production/uploads/655db6a58c2d4379a70837c0/hZ0xjXXAf0Tn_iS4YczYP.png)

![image](https://cdn-uploads.huggingface.co/production/uploads/655db6a58c2d4379a70837c0/KDbG4yAHMmzWyDXLKV_le.png)

## ✍️ Citation

If you find this work useful, please cite:

~~~
@article{wei2025mico,
  title={MICo-150K: A Comprehensive Dataset Advancing Multi-Image Composition},
  author={Wei, Xinyu and Cen, Kangrui and Wei, Hongyang and Guo, Zhen and Li, Bairui and Wang, Zeqing and Zhang, Jinrui and Zhang, Lei},
  journal={arXiv preprint arXiv:2512.07348},
  year={2025}
}
~~~


## License

OmniGen2-MICo is licensed under Apache License 2.0