Instructions to use Nahrawy/controlnet-shadow-output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nahrawy/controlnet-shadow-output with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Nahrawy/controlnet-shadow-output") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download images_0.png from Nahrawy/controlnet-shadow-output: direct link, hf CLI and curl.
- Browser
- Download file 925 kB
-
https://huggingface.co/Nahrawy/controlnet-shadow-output/resolve/main/images_0.png
- Command line
-
hf download hf://Nahrawy/controlnet-shadow-output/images_0.png
-
curl -L -o images_0.png https://huggingface.co/Nahrawy/controlnet-shadow-output/resolve/main/images_0.png
925 kB
