### 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
For all concepts, the UCE parameters used are: $\lambda_1=0.1$ and $\lambda_2=0.1$.

The regularization coefficients $\lambda$ are:
* Nudity and unsafe concepts(I2P concepts), $\lambda=1e-1$.
* Artistic styles, $\lambda=1e-3$.
* Difficult objects (e.g., church and garbage truck), $\lambda=1e-3$. 
* Easy objects (e.g., English Springer, golf ball and parachute), $\lambda=1e-1$. 
* For other objects where erasing accuracies reach 0 using UCE, RECE's further erasure is not applied.

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license: apache-2.0
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