Instructions to use GreeneryScenery/SheepsControlV5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GreeneryScenery/SheepsControlV5 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/SheepsControlV5", 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:
- a7c8ec615b177b266cf12a8c5ee3b444723732ed6433fa90d115f585c9ee3b8b
- Size of remote file:
- 1.46 GB
- SHA256:
- 55d745afeb27db0dad463251678bdd546aed687193e8d9cbf4d8adfcdcba11f1
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