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README.md
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@@ -24,7 +24,7 @@ Distilled 4-step and 8-step FLUX.1 models proposed in the paper:
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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]()] [[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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}
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```
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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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```
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