SPEED
Here are the released model checkpoints of our paper:
SPEED: Scalable, Precise, and Efficient Concept Erasure for Diffusion Models
Three characteristics of our proposed method, SPEED. (a) Scalable: SPEED seamlessly scales from single-concept to large-scale multi-concept erasure (e.g., 100 celebrities) without additional design. (b) Precise: SPEED precisely removes the target concept (e.g., Snoopy) while preserving the semantic integrity for non-target concepts (e.g., Hello Kitty and SpongeBob). (c) Efficient: SPEED can immediately erase 100 concepts within 5 seconds, achieving a ×350 speedup over the state-of-the-art (SOTA) method.
More implementation details can refer to our GitHub repository.
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Model tree for lioooox/SPEED
Base model
CompVis/stable-diffusion-v1-4