---
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}
}
```