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
- Xet hash:
- dbdb0e1782623be844966b4c441db931edf9d96c18f09fa516b48b22aee7ccc3
- Size of remote file:
- 1.45 GB
- SHA256:
- 6c03d1c04b2179ff9d489883ae1a863e342d7c843d6b556d961c5cbf3e2c9d51
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