Instructions to use andsteing/fill-circle-controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use andsteing/fill-circle-controlnet with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("andsteing/fill-circle-controlnet") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 5bbfcd14c61045d32403b629e68971908c83fa8c6fc74306b34cace133092dcb
- Size of remote file:
- 1.21 MB
- SHA256:
- 3e9f52dd4eaf094dffdb517d1a0e5d70e3848d298cfceb3e8120e81dacb5d13b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.