SalUn Stable Diffusion v1.4 checkpoints

This repository mirrors converted SalUn UNet checkpoints from siyich/ijd-unlearned-checkpoints.

The checkpoints use Stable Diffusion v1.4 as the base model and were produced by the SalUn method from "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation". They are stored as Diffusers UNet state dictionaries; use the remaining pipeline components from CompVis/stable-diffusion-v1-4.

Included targets:

  • Nudity
  • Church
  • Garbage Truck
  • Parachute
  • Tench

These files were converted and collected by the authors of "The Dual Power of Interpretable Token Embeddings"; they are not byte-identical to the original full Stable Diffusion checkpoints.

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Papers for a-F1/Unlearn-Saliency