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DiffusionConceptErasure/esdu_picasso
esdu_picasso 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 Unconstrained Source Distillation (ESD-U) method to remove the concept "Picasso".
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From the Hugging Face model README
This is a concept-erased Stable Diffusion model using the Unconstrained Source Distillation (ESD-U) method to remove the concept "Picasso".
Unconstrained Source Distillation (ESD-U) performs unconstrained distillation to remove concept information.
from diffusers import StableDiffusionPipeline
import torch
pipe = StableDiffusionPipeline.from_pretrained("ErasureResearch/esdu_picasso", torch_dtype=torch.float16).to("cuda")
prompt = "a photo of a picasso"
image = pipe(prompt).images[0]
image.save("erased_picasso.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}
}