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README.md
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![Intro Image](sdxl_lightning_samples.jpg)
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SDXL-Lightning is a lightning-fast text-to-image generation model. It can generate high-quality 1024px images in a few steps. For more information, please refer to our paper: [SDXL-Lightning: Progressive Adversarial Diffusion Distillation](https://
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Our models are distilled from [stabilityai/stable-diffusion-xl-base-1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0). This repository contains checkpoints for 1-step, 2-step, 4-step, and 8-step distilled models. The generation quality of our 2-step, 4-step, and 8-step model is amazing. Our 1-step model is more experimental.
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1. Download the full checkpoint (`sdxl_lightning_1step_x0.safetensors`) to `/ComfyUI/models/checkpoints`.
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1. Download our [ComfyUI full 1-step workflow](comfyui/sdxl_lightning_workflow_full_1step.json).
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![SDXL-Lightning ComfyUI Full 1-Step Workflow](comfyui/sdxl_lightning_workflow_full_1step.jpg)
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![Intro Image](sdxl_lightning_samples.jpg)
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SDXL-Lightning is a lightning-fast text-to-image generation model. It can generate high-quality 1024px images in a few steps. For more information, please refer to our paper: [SDXL-Lightning: Progressive Adversarial Diffusion Distillation](https://arxiv.org/abs/2402.13929). The models are released for research purposes only.
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Our models are distilled from [stabilityai/stable-diffusion-xl-base-1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0). This repository contains checkpoints for 1-step, 2-step, 4-step, and 8-step distilled models. The generation quality of our 2-step, 4-step, and 8-step model is amazing. Our 1-step model is more experimental.
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1. Download the full checkpoint (`sdxl_lightning_1step_x0.safetensors`) to `/ComfyUI/models/checkpoints`.
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1. Download our [ComfyUI full 1-step workflow](comfyui/sdxl_lightning_workflow_full_1step.json).
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![SDXL-Lightning ComfyUI Full 1-Step Workflow](comfyui/sdxl_lightning_workflow_full_1step.jpg)
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## Cite Our Work
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```
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@misc{lin2024sdxllightning,
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title={SDXL-Lightning: Progressive Adversarial Diffusion Distillation},
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author={Shanchuan Lin and Anran Wang and Xiao Yang},
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year={2024},
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eprint={2402.13929},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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}
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```
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