Instructions to use jwengr/stable-diffusion-2-gray-inpaint-to-rgb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jwengr/stable-diffusion-2-gray-inpaint-to-rgb 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("jwengr/stable-diffusion-2-gray-inpaint-to-rgb", 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
Download __init__.py from jwengr/stable-diffusion-2-gray-inpaint-to-rgb: direct link, hf CLI and curl.
- Browser
- Download file 0 Bytes
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https://huggingface.co/jwengr/stable-diffusion-2-gray-inpaint-to-rgb/resolve/main/__init__.py
- Command line
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hf download hf://jwengr/stable-diffusion-2-gray-inpaint-to-rgb/__init__.py
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curl -L -o __init__.py https://huggingface.co/jwengr/stable-diffusion-2-gray-inpaint-to-rgb/resolve/main/__init__.py
0 Bytes