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