Instructions to use GreeneryScenery/SheepsControlV7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GreeneryScenery/SheepsControlV7 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("GreeneryScenery/SheepsControlV7", 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:
- 1e53948921c621189226b0fc533e84bef48687e381fc2b4497da1f542bfe27dc
- Size of remote file:
- 14.7 kB
- SHA256:
- ee5c10d9a7f8d0727bdc6c0db10d66543ed29b17d682a58057ebaff6faec1b08
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