Instructions to use GreeneryScenery/SheepsControlV8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GreeneryScenery/SheepsControlV8 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/SheepsControlV8", 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 overview.png from GreeneryScenery/SheepsControlV8: direct link, hf CLI and curl.
- Browser
- Download file 1.07 MB
-
https://huggingface.co/GreeneryScenery/SheepsControlV8/resolve/main/overview.png
- Command line
-
hf download hf://GreeneryScenery/SheepsControlV8/overview.png
-
curl -L -o overview.png https://huggingface.co/GreeneryScenery/SheepsControlV8/resolve/main/overview.png
1.07 MB

- Xet hash:
- 0afa6a90a490e9f61d0cd0179d9af797590c61a52e518e1152f19782b6777e96
- Size of remote file:
- 1.07 MB
- SHA256:
- 36b3ee0aab7590bb0b621461789c9ee7f3296c826daeefb503bee367034d7c72
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