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DiffusionConceptErasure/uce_airliner
uce_airliner is a text-to-image model from DiffusionConceptErasure. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as mit.
This is a concept-erased Stable Diffusion model using the Unlearning via Concept Erasure (UCE) method to remove the concept "Airliner".
Downloads · 30 days
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From the Hugging Face model README
This is a concept-erased Stable Diffusion model using the Unlearning via Concept Erasure (UCE) method to remove the concept "Airliner".
Unlearning via Concept Erasure (UCE) modifies the model's internal representations to remove specific concept knowledge.
from diffusers import StableDiffusionPipeline
import torch
pipe = StableDiffusionPipeline.from_pretrained("ErasureResearch/uce_airliner", torch_dtype=torch.float16).to("cuda")
prompt = "a photo of a airliner"
image = pipe(prompt).images[0]
image.save("erased_airliner.png")
If you use this model in your research, please cite:
@article{concept_erasure_2024,
title={Concept Erasure in Diffusion Models},
author={ErasureResearch Team},
journal={Proceedings of...},
year={2024}
}