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