Image-to-Image
Diffusers
StableDiffusionInstructPix2PixPipeline
image-editing
instruct-pix2pix
magicbrush
Instructions to use JovanHengGhimHong/magicbrush-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JovanHengGhimHong/magicbrush-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JovanHengGhimHong/magicbrush-diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
metadata
library_name: diffusers
pipeline_tag: image-to-image
tags:
- diffusers
- image-editing
- instruct-pix2pix
- magicbrush
MagicBrush Diffusers
Diffusers version of the MagicBrush model.
Citations
@inproceedings{zhang2023magicbrush,
title = {MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing},
author = {Zhang, Kai and Mo, Lingbo and Chen, Wenhu and Sun, Huan and Su, Yu},
booktitle = {Advances in Neural Information Processing Systems},
year = {2023}
}