Instructions to use GreeneryScenery/SheepsControlV4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GreeneryScenery/SheepsControlV4 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/SheepsControlV4", 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:
- d6365c12db2744500d97bb0216a73a6f8a5c5e50a4f03a25143a018f89324465
- Size of remote file:
- 1.46 GB
- SHA256:
- df5ef8e66e7f7126786a245d26ea8d9ce2d9900eaa3d1ab6237ae4337d3981c7
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