---
pipeline_tag: image-to-image
license: apache-2.0
---

# 📚 Introduction
Lumina-mGPT 2.0 is a stand-alone, decoder-only autoregressive model, **trained from scratch**, that unifies a broad spectrum of image generation tasks, including **text-to-image generation, image pair generation, subject-driven generation, multi-turn image editing, controllable generation, and dense prediction**. 
<img src="./assets/diag.png" width="100%"/>

# 🚀 Usage
We provide the implementation of Lumina-mGPT 2.0, as well as sampling code, visit our [GitHub](https://github.com/Alpha-VLLM/Lumina-mGPT-2.0).

# 📽️ Demo Examples
<details open>
  <summary>Qualitative Performance</summary>
 <img src="./assets/qualitative.jpg" width="100%"/>
</details>

<details open>
  <summary>Comparison with Lumina-mGPT and Janus Pro</summary>
  <img src="./assets/comparison.png" width="100%"/>
</details>

# 📖 Citation

If you find the provided code or models useful for your research, consider citing them as:

```bib
@article{xin2025lumina,
  title={Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling},
  author={Xin, Yi and Yan, Juncheng and Qin, Qi and Li, Zhen and Liu, Dongyang and Li, Shicheng and Huang, Victor Shea-Jay and Zhou, Yupeng and Zhang, Renrui and Zhuo, Le and others},
  journal={arXiv preprint arXiv:2507.17801},
  year={2025}
}
```