Add model card for DraCo

This PR adds a comprehensive model card for DraCo, including:
- The `pipeline_tag: text-to-image` to ensure discoverability on the Hugging Face Hub.
- A link to the paper: [DraCo: Draft as CoT for Text-to-Image Preview and Rare Concept Generation](https://huggingface.co/papers/2512.05112).
- A link to the GitHub repository: https://github.com/CaraJ7/DraCo.
- A brief overview of the model's capabilities and an illustrative image from the project's GitHub.

Please review and merge if everything looks good.

README.md

@@ -0,0 +1,32 @@
+---
+pipeline_tag: text-to-image
+---
+
+# DraCo: Draft as CoT for Text-to-Image Preview and Rare Concept Generation
+
+This repository contains the DraCo model, presented in the paper [DraCo: Draft as CoT for Text-to-Image Preview and Rare Concept Generation](https://huggingface.co/papers/2512.05112).
+
+DraCo proposes a novel interleaved reasoning paradigm that fully leverages both textual and visual contents in Chain-of-Thought (CoT) for better planning and verification in text-to-image generation. This method first generates a low-resolution draft image as a preview, providing concrete visual planning and guidance. It then verifies potential semantic misalignments between the draft and input prompt, performing refinement through selective corrections with super-resolution.
+
+<p align="center">
+    <img src="https://github.com/CaraJ7/DraCo/raw/main/figs/vis.jpg" width="100%"> <br>
+</p>
+
+## Code
+The official implementation can be found on GitHub: https://github.com/CaraJ7/DraCo
+(Note: The GitHub repository indicates that the code is "coming soon.")
+
+## Citation
+If you find DraCo useful for your research, please consider citing the paper:
+
+```bibtex
+@article{jiang2025draco,
+      title={DraCo: Draft as CoT for Text-to-Image Preview and Rare Concept Generation},
+      author={Jiang, Dongzhi and Zhang, Renrui and Li, Haodong and Zong, Zhuofan and Guo, Ziyu and He, Jun and Guo, Claire and Ye, Junyan and Fang, Rongyao and Li, Weijia and Liu, Rui and Li, Hongsheng},
+      year={2025},
+      eprint={2512.05112},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2512.05112},
+}
+```