---
license: apache-2.0
base_model:
- CompVis/stable-diffusion-v1-4
---

# SPEED
Here are the released model checkpoints of our paper:

> [SPEED: Scalable, Precise, and Efficient Concept Erasure for Diffusion Models](https://arxiv.org/abs/2503.07392)

![teaser](assets/teaser.JPEG)

**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 be found in our [GitHub repository](https://github.com/Ouxiang-Li/SPEED).