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arXiv:2402.13929cs.CV

SDXL-Lightning: Progressive Adversarial Diffusion Distillation

Shanchuan Lin, Anran Wang, Xiao Yang

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Abstract

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.

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Journal reference
DOI
Subjects
cs.CVComputer Vision and Pattern Recognition cs.AIArtificial Intelligence cs.LGMachine Learning

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  1. Show HN: Real-time image generation with SDXL Lightning 1 comment

    • OK - I found the lightning paper and it seems the difference (to an end user) is turbo is max 512px (with no lora support) and this is 1024px (with lora support). The example images in the paper are also subjectively better quality and composition - but appear more stylised to…

      supermattView on HNParent context

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