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
- Draw Things
- DiffusionBee
- Xet hash:
- 6c7332fba0cc43d8bdcb8ca99dda6439b87d9f199ce1372bbb368e71886a3ce4
- Size of remote file:
- 563 Bytes
- SHA256:
- e91dd8338e4d169fa73595a05b183b039e62b3e3c514b0078747c0722b3d20a6
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