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:
- 017eef969b192587639a9749c6b3f7075aa024eccd5fe1044354b6eb9d2f1f28
- Size of remote file:
- 1.46 GB
- SHA256:
- 309f8afc79ef2fb0aa17dbfd1b34cce4730060be7cac2128b0fd8cf80bafaf66
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