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
| library_name: diffusers | |
| pipeline_tag: image-to-image | |
| tags: | |
| - diffusers | |
| - image-editing | |
| - instruct-pix2pix | |
| - magicbrush | |
| # MagicBrush Diffusers | |
| Diffusers version of the MagicBrush model. | |
| ## Citations | |
| ```bibtex | |
| @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} | |
| } | |
| ``` | |