| license: mit | |
| tags: | |
| - diffusion | |
| - concept-erasure | |
| - stable-diffusion | |
| - uce | |
| - garbage_truck | |
| datasets: | |
| - imagenet | |
| language: | |
| - en | |
| pipeline_tag: text-to-image | |
| # uce_garbage_truck | |
| This is a concept-erased Stable Diffusion model using the **Unlearning via Concept Erasure (UCE)** method to remove the concept **"Garbage Truck"**. | |
| ## Method | |
| Unlearning via Concept Erasure (UCE) modifies the model's internal representations to remove specific concept knowledge. | |
| ## Usage | |
| ```python | |
| from diffusers import StableDiffusionPipeline | |
| import torch | |
| pipe = StableDiffusionPipeline.from_pretrained("ErasureResearch/uce_garbage_truck", torch_dtype=torch.float16).to("cuda") | |
| prompt = "a photo of a garbage_truck" | |
| image = pipe(prompt).images[0] | |
| image.save("erased_garbage_truck.png") | |
| ``` | |
| ## Citation | |
| If you use this model in your research, please cite: | |
| ```bibtex | |
| @article{concept_erasure_2024, | |
| title={Concept Erasure in Diffusion Models}, | |
| author={ErasureResearch Team}, | |
| journal={Proceedings of...}, | |
| year={2024} | |
| } | |
| ``` | |