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:
- 5e9ce9746f270877e90ee21b12d707133fa3debc804ac670bc5450e4d95d549a
- Size of remote file:
- 731 MB
- SHA256:
- e36850649b1dd64b4bc1b0b3c4c3a0eb3e69075e11988d3046f94f57d3b224b2
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