| ### Model zoo of Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models | |
| ECCV 2024 | [Paper](https://arxiv.org/abs/2407.12383) | [Code](https://github.com/CharlesGong12/RECE) | |
| #### Overview | |
| This repository hosts the checkpoints for the RECE in the diffusers' format. | |
| These checkpoints can be directly loaded into your UNet if you are using diffusers. | |
| #### Checkpoints | |
| The checkpoints are named with the suffix "_ep*" indicating the epoch selected based on validation performance. | |
| #### Erasure Details | |
| Configuration Updates. Some settings have been updated from the current Arxiv version. For all concepts, the coefficients of Eq.3 are: $\lambda_1=0.1$ and $\lambda_2=0.1$. | |
| The regularization coefficients $\lambda$ and epochs are set as follows: | |
| 1. Nudity and unsafe concepts(I2P concepts), $\lambda=1e-1$, with nudity for 3 epochs and unsafe concepts for 2 epochs. | |
| 2. Artistic styles, $\lambda=1e-3$, 1 epoch. | |
| 3. Difficult objects for UCE(e.g., church and garbage truck), $\lambda=1e-3$, 1 epoch. | |
| 4. Easy objects for UCE(e.g., English Springer, golf ball and parachute), $\lambda=1e-1$, 1 epoch. | |
| 5. For other objects where erasing accuracies reach 0 using UCE, RECE's further erasure is not applied. | |
| The files' suffixes suggest the epochs we selected and the epoch sequence number starts from 0. | |
| --- | |
| license: apache-2.0 | |
| --- | |