Instructions to use GraydientPlatformAPI/utopian2-inpainting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/utopian2-inpainting 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("GraydientPlatformAPI/utopian2-inpainting", 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:
- d513acca4aec91cd4118a46384ca800c595215970a07fa096fc345f1e1d73f70
- Size of remote file:
- 246 MB
- SHA256:
- 871938828308e3bd7356d40b8526f2254a66c4cbb6a6f4f81e3a67e2a2a83b17
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