Update README.md

README.md

@@ -1,3 +1,35 @@
----
-license: apache-2.0
----
+---
+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}
+}
+```