Instructions to use KittyArtPhysics/controlnet-fill-circle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KittyArtPhysics/controlnet-fill-circle with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("KittyArtPhysics/controlnet-fill-circle") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- dda76bf2b6da0e3d228b010b748e1de067672a664da473b38232da070e27c452
- Size of remote file:
- 1.45 GB
- SHA256:
- 355de8eddc4d762c49a82c88e9123e76a2f17b00923a3611902ce723dd24c902
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