A short teacher-alignment repair stage between structured pruning and one-step distillation yields a 20% pruned one-step generator that improves FID from 3.53 to 3.12 on ImageNet-512 while reducing NFE from 63 to 1.
Learning stackable and skippable LEGO bricks for efficient, reconfigurable, and variable-resolution diffusion modeling.International Conference on Learning Representations, 2024
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Bridging Diffusion Pruning and Step Distillation with Teacher-Aligned Repair
A short teacher-alignment repair stage between structured pruning and one-step distillation yields a 20% pruned one-step generator that improves FID from 3.53 to 3.12 on ImageNet-512 while reducing NFE from 63 to 1.