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:
- b830c08c1cd167aa900a36071e431ac1fe12786121d2055d1277a63026999000
- Size of remote file:
- 492 MB
- SHA256:
- 0dcea0628d0a647a891d96c92783006d3ee2321093d4e728b52dc3bca3552228
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