Unverified50% confidenceFactExact time
LoRA（Low-Rank Adaptation）在图像生成加速中可作为蒸馏载体，将需20-50步的SDXL等多步扩散模型压缩成仅需4-8步的少步采样方案
1
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50%
Confidence
Long-term
Relevance
9/12/2026
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Related Claims
UnverifiedTurbo 4-step LoRA将扩散采样过程从原本几十步压缩到仅4步69% similarUnverifiedLoRA的全称是Low-Rank Adaptation69% similarUnverifiedStable Diffusion通过预训练的VAE将512×512×3的图像编码为64×64×4的潜在张量，计算量降低约48倍64% similarUnverified扩散模型标准生成可能需要50-100步去噪迭代，一致性模型或渐进蒸馏技术可将步骤减少至4-8步64% similarUnverified2021年DDIM(Denoising Diffusion Implicit Models)的提出大幅加速了采样过程,将采样步数降至20-50步64% similar
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