Enabling Preference-driven Unlearning in Few-step Distilled Text-to-Image Diffusion Models
arXiv:2610.10859v1 Announce Type: new Abstract: Text-to-image diffusion models are increasingly distilled into few-step variants and being deployed to enable fast inference. However, their ability to generate harmful or undesired content poses significant safety risks. Data-driven unlearning method…
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- 2026-10-09 04:00 · arXiv cs.CV
Enabling Preference-driven Unlearning in Few-step Distilled Text-to-Image Diffusion Models