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--- |
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license: apache-2.0 |
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datasets: |
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- ILSVRC/imagenet-1k |
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library_name: diffusers |
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--- |
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# pi-Flow: Policy-Based Flow Models |
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Distilled 1-step and 2-step ImageNet DiTs proposed in the paper: |
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**pi-Flow: Policy-Based Few-Step Generation via Imitation Distillation** |
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<br> |
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[Hansheng Chen](https://lakonik.github.io/)<sup>1</sup>, |
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[Kai Zhang](https://kai-46.github.io/website/)<sup>2</sup>, |
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[Hao Tan](https://research.adobe.com/person/hao-tan/)<sup>2</sup>, |
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[Leonidas Guibas](https://geometry.stanford.edu/?member=guibas)<sup>1</sup>, |
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[Gordon Wetzstein](http://web.stanford.edu/~gordonwz/)<sup>1</sup>, |
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[Sai Bi](https://sai-bi.github.io/)<sup>2</sup><br> |
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<sup>1</sup>Stanford University, <sup>2</sup>Adobe Research |
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<br> |
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[[arXiv](https://arxiv.org/abs/2510.14974)] [[Code](https://github.com/Lakonik/piFlow)] [[pi-Qwen Demo🤗](https://huggingface.co/spaces/Lakonik/pi-Qwen)] [[pi-FLUX Demo🤗](https://huggingface.co/spaces/Lakonik/pi-FLUX.1)] |
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## Citation |
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``` |
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@misc{piflow, |
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title={pi-Flow: Policy-Based Few-Step Generation via Imitation Distillation}, |
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author={Hansheng Chen and Kai Zhang and Hao Tan and Leonidas Guibas and Gordon Wetzstein and Sai Bi}, |
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year={2025}, |
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eprint={2510.14974}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.LG}, |
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url={https://arxiv.org/abs/2510.14974}, |
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} |
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``` |