AIBullisharXiv – CS AI · May 126/10
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When Few Steps Are Enough: Training-Free Acceleration of Identity-Preserved Generation
Researchers demonstrate that identity-preserved image generation using FLUX can be accelerated 5.9x by replacing the standard diffusion backbone with a distilled version, without retraining the identity adapter. Analysis reveals identity fidelity stabilizes within 4-8 steps while later steps primarily refine visual details, enabling efficient personalized generation at deployment.