Instructions to use baicuya/controlnet-fill-circle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use baicuya/controlnet-fill-circle with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("baicuya/controlnet-fill-circle") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5bddd4ba97e613234b7434fab996bafb92c99c05da64e2bbb3725f80c72e700f
- Size of remote file:
- 1.45 GB
- SHA256:
- c4cd623643fc053ffaf217f300499efb6e4e146c12364dd4228edb6143bfa7a9
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