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<span style="color: rgb(114, 58, 107); font-weight: bold;">X-Prompt</span>

<b> This repository is the official implementation of <span style="color: rgb(114, 58, 107); font-weight: bold;">X-Prompt</span>: Towards Universal In-Context Image Generation in Auto-Regressive Vision Language Foundation Models </b>

</div> <img src="assets/incontext.png"> <img src="assets/t2i.png">

Towards Universal In-Context Image Generation in Auto-Regressive Vision Language Foundation Models </br> Zeyi Sun, Ziyang Chu, Pan Zhang, Tong Wu, Yuhang Zang, Xiaoyi Dong, Yuanjun Xiong, Dahua Lin, Jiaqi Wang

<p align="center"> <a href="https://arxiv.org/abs/2412.01824"><img src="https://img.shields.io/badge/arXiv-Paper-<color>"></a> </p>

🔥 We will release the code and models soon!

🛠️ Usage

Installation

Inference

✒️ Citation

If you find our work helpful for your research, please consider giving a star ⭐ and citation 📝

@misc{sun2024xpromptuniversalincontextimage,
      title={X-Prompt: Towards Universal In-Context Image Generation in Auto-Regressive Vision Language Foundation Models}, 
      author={Zeyi Sun and Ziyang Chu and Pan Zhang and Tong Wu and Xiaoyi Dong and Yuhang Zang and Yuanjun Xiong and Dahua Lin and Jiaqi Wang},
      year={2024},
      eprint={2412.01824},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2412.01824}, 
}