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license: apache-2.0 |
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base_model: |
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- CompVis/stable-diffusion-v1-4 |
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# SPEED |
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Here are the released model checkpoints of our paper: |
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> [SPEED: Scalable, Precise, and Efficient Concept Erasure for Diffusion Models](https://arxiv.org/abs/2503.07392) |
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**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. |
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More implementation details can be found in our [GitHub repository](https://github.com/Ouxiang-Li/SPEED). |
