Instructions to use bestpedro/controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bestpedro/controlnet with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("bestpedro/controlnet") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 93807774d69198deb109befa91e5549123e4049c6ce94a6e0a1753f21f00e6d4
- Size of remote file:
- 731 MB
- SHA256:
- 167658f783fd22e556b93bf15423c78b651d9075e071db2c5cdab523d0251ec8
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