AI RESEARCH
When Few Steps Are Enough: Training-Free Acceleration of Identity-Preserved Generation
arXiv CS.AI
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ArXi:2605.09460v1 Announce Type: cross Identity-preserved image generation is typically built on many-step diffusion backbones, making personalized generation expensive at deployment time. We show that this cost is often unnecessary for identity-conditioned FLUX generation. A frozen InfuseNet identity adapter trained with de transfers directly to the distilled schnell backbone without re