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
- Xet hash:
- e8b52427f40b5536cfbc0fe8fa27fb366d0eaa886d2fdc739ec3178e975e68ad
- Size of remote file:
- 335 MB
- SHA256:
- 41eafb8ed48c7b6dedce4ae76bde1a7258a1bf593694e8c92a537df32aa27d20
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