This is the repository for using Perp-Neg sampling with Stable Diffusion model, as presented in Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond..
Run compositional ebm with diffusion model
python scripts/image_sample_stable_diffusion.py --prompt="a boy wearing sunglasses|sunglasses with black frame" --weights="1|-1.5" --pipeline='cebm' --num_images=1
Run PerpNeg
python scripts/image_sample_stable_diffusion.py --prompt="a boy wearing sunglasses|sunglasses with black frame" --weights="1|-1.5" --pipeline='perpneg' --num_images=1
Run PerpNeg-rotation
python scripts/image_sample_stable_diffusion.py --prompt="a photo of lion, front view | a photo of lion, side view" --weights="1|-1.5|-1.5" --pipeline='rotation_perpneg' --num_images=1
PerpNeg-Stable DreamFusion
We will the provide the code soon.
If you find it useful for your work, please cite:
@article{armandpour2023re,
title={Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond},
author={Armandpour, Mohammadreza and Sadeghian, Ali and Zheng, Huangjie and Sadeghian, Amir and Zhou, Mingyuan},
journal={arXiv preprint arXiv:2304.04968},
year={2023}
}