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:
- f3bbb891d76d1622b9a8e6744789c99994a412ca9861b7302ae849526570b07d
- Size of remote file:
- 1.46 GB
- SHA256:
- 7c6cfb7a821fef4036b0264e4aaf1cf1f5cefa121ab48eaff2d02ce1bcf38ff1
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