---
license: mit
tags:
- diffusion
- concept-erasure
- stable-diffusion
- ga
- andy_warhol
datasets:
- imagenet
language:
- en
pipeline_tag: text-to-image
---

# ga_andy_warhol

This is a concept-erased Stable Diffusion model using the **Gradient Ascent (GA)** method to remove the concept **"Andy Warhol"**.

## Method

Gradient Ascent (GA) actively pushes the model away from generating the target concept.

## Usage

```python
from diffusers import StableDiffusionPipeline
import torch

pipe = StableDiffusionPipeline.from_pretrained("ErasureResearch/ga_andy_warhol", torch_dtype=torch.float16).to("cuda")
prompt = "a photo of a andy_warhol"
image = pipe(prompt).images[0]
image.save("erased_andy_warhol.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}
}
```