The authors combine few-shot unlearning with low-rank adaptation on the CLIP text encoder to erase concepts from Stable Diffusion v2 in under a minute, reporting low forget-CLIP scores and detection rates on three concepts.
Erasing concepts from text-to-image diffusion models with few-shot unlearning,
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Few-Shot Concept Unlearning with Low Rank Adaptation
The authors combine few-shot unlearning with low-rank adaptation on the CLIP text encoder to erase concepts from Stable Diffusion v2 in under a minute, reporting low forget-CLIP scores and detection rates on three concepts.