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
- Draw Things
- DiffusionBee
- Xet hash:
- 2382ebcb5a9e56a1fd93d34601904bf0cfcb844e4ee81576444969fc047414a3
- Size of remote file:
- 1.45 GB
- SHA256:
- b825f33b9fdf57fd0f51db4f8375550784f5a355e4b924770ba57fd32eccb565
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