CLEAR replaces full attention in pre-trained diffusion transformers with local circular-window attention and distills the teacher into a student that keeps quality at a fraction of the compute.
Pixart- σ: Weak-to-strong training of diffu- sion transformer for 4k text-to-image generation, 2024
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CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up
CLEAR replaces full attention in pre-trained diffusion transformers with local circular-window attention and distills the teacher into a student that keeps quality at a fraction of the compute.