RECE is a concept erasure technology for text-to-image diffusion models that reliably and efficiently removes specific concepts by introducing regularization terms during model training. This technology is significant in enhancing the safety and controllability of image generation models, especially in scenarios where generating inappropriate content needs to be avoided. The primary advantages of RECE technology include high efficiency, high reliability, and easy integration into existing models.