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--- |
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license: apache-2.0 |
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library_name: diffusers |
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pipeline_tag: text-to-image |
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--- |
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# Scale-wise Distillation 3.5 Large |
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Scale-wise Distillation (SwD) is a novel framework for accelerating diffusion models (DMs) |
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by progressively increasing spatial resolution during the generation process. |
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<br>SwD achieves significant speedups (2.5× to 10×) compared to full-resolution models |
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while maintaining or even improving image quality. |
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Project page: https://yandex-research.github.io/swd |
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## Usage |
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To generate images using SwD, go to <a href="https://github.com/yandex-research/swd ">GitHub</a> |
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or <a href="https://huggingface.co/spaces/dbaranchuk/Scale-wise-Distillation">Hugging Face's demo </a>. |
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## Citation |
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```bibtex |
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@article{starodubcev2025swd, |
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title={Scale-wise Distillation of Diffusion Models}, |
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author={Nikita Starodubcev and Denis Kuznedelev and Artem Babenko and Dmitry Baranchuk}, |
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journal={arXiv preprint arXiv:2503.16397}, |
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year={2025} |
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} |
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``` |
