SDXL-Lightning: Progressive Adversarial Diffusion Distillation

Peter Lin, Anran Wang, Xiao Yang

SDXL-Lightning: Progressive Adversarial Diffusion Distillation: 27 upvotes on Hugging Face Daily Papers, #4 of 12 papers on 2024-02-22. Day-by-day upvote history.

We propose a diffusion distillation method that achieves new state-of-the-art in one-step/few-step 1024px text-to-image generation based on SDXL. Our method combines progressive and adversarial distillation to achieve a balance between quality and mode coverage. In this paper, we discuss the theoretical analysis, discriminator design, model formulation, and training techniques. We open-source our distilled SDXL-Lightning models both as LoRA and full UNet weights.

Paper page on Hugging Face · arXiv

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