Improve model card with metadata and citation (#16)

- Improve model card with metadata and citation (3b5d0ff93e5fb8182854d479cde7f3bb9066d2f4)
- Update README.md (a5d64d8eb2a69329f45994de4a2c157d3a7efc92)


Co-authored-by: Niels Rogge <[email protected]>

README.md

@@ -1,6 +1,9 @@
 ---
 pipeline_tag: text-to-image
+library_name: diffusers
+license: apache-2.0
 ---
+
 ![Lumina-Image 2.0](./Demo.png)
 Lumina-Image-2.0 is a 2 billion parameter flow-based diffusion transformer capable of generating images from text descriptions. For more information, visit our [GitHub](https://github.com/Alpha-VLLM/Lumina-Image-2.0).
 
@@ -30,4 +33,22 @@ image = pipe(
     generator=torch.Generator("cpu").manual_seed(0)
 ).images[0]
 image.save("lumina_demo.png")
+```
+
+This is a HF中国镜像站 Diffusers implementation of the paper [Lumina-Image 2.0: A Unified and Efficient Image Generative Framework](https://arxiv.org/abs/2503.21758).
+
+## Citation
+
+If you find the provided code or models useful for your research, consider citing them as:
+
+```bib
+@misc{lumina2,
+    author={Qi Qin and Le Zhuo and Yi Xin and Ruoyi Du and Zhen Li and Bin Fu and Yiting Lu and Xinyue Li and Dongyang Liu and Xiangyang Zhu and Will Beddow and Erwann Millon and Victor Perez,Wenhai Wang and Yu Qiao and Bo Zhang and Xiaohong Liu and Hongsheng Li and Chang Xu and Peng Gao},
+    title={Lumina-Image 2.0: A Unified and Efficient Image Generative Framework},
+    year={2025},
+    eprint={2503.21758},
+    archivePrefix={arXiv},
+    primaryClass={cs.CV},
+    url={https://arxiv.org/pdf/2503.21758}, 
+}
 ```