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