Instructions to use GreeneryScenery/SheepsControlV9.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GreeneryScenery/SheepsControlV9.5 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/SheepsControlV9.5", 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 checkpoint-42000/scheduler.bin from GreeneryScenery/SheepsControlV9.5: direct link, hf CLI and curl.
- Browser
- Download file 563 Bytes
-
https://huggingface.co/GreeneryScenery/SheepsControlV9.5/resolve/main/checkpoint-42000/scheduler.bin
- Command line
-
hf download hf://GreeneryScenery/SheepsControlV9.5/checkpoint-42000/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/GreeneryScenery/SheepsControlV9.5/resolve/main/checkpoint-42000/scheduler.bin
563 Bytes
- Xet hash:
- 064666aaf13fed9433a1797a625679b05cc2cf47df0966fa0ec3bb8615a69891
- Size of remote file:
- 563 Bytes
- SHA256:
- d3fd1ac01148b0514ddb3c1874aa18268949ee0288ebfc5e388a3f24095288ca
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