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:
- e8438170be46a95b1f71cb6bddb32a1a20aeb60aee67efa2664c5f32fd7a48fe
- Size of remote file:
- 731 MB
- SHA256:
- 655f008b79067fc432e62327e9973de22c694d2d6eabffdc7157e4545cce4b37
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.