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Salvation Lies Within: Eliciting Inherent Style Transfer in Step-Distilled Diffusion Models
Adapting step-distilled text-to-image (T2I) models through post-training incurs additional computational costs and affects native few-step generation behavior. This motivates a complementary route beyond style-specific adaptation: drawing on the visual knowledge already encoded in step-distilled T2I
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