Update README.md

README.md

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-license: mit
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+---
+license: mit
+---
+# MakeAnything: Harnessing Diffusion Transformers for Multi-Domain Procedural Sequence Generation
+
+For detailed instructions on how to use the models and train them, please visit our [GitHub repository](https://github.com/showlab/MakeAnything).
+
+## Citation
+```
+@inproceedings{
+    Song2025MakeAnythingHD,
+    title={MakeAnything: Harnessing Diffusion Transformers for Multi-Domain Procedural Sequence Generation},
+    author={Yiren Song and Cheng Liu and Mike Zheng Shou},
+    year={2025},
+    url={https://api.semanticscholar.org/CorpusID:276107845}
+}
+```