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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}
}
``` |