Instructions to use juancopi81/controlnet-fill-circle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use juancopi81/controlnet-fill-circle with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("juancopi81/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:
- 97f4e5ebd54016f2c908d68684e691ff4fc30c818e4a946a4c0b58bf0030d96a
- Size of remote file:
- 1.45 GB
- SHA256:
- 493397f9a645e30bf43dc3165be3c3166af5ac743cb14e0a36e176b66c7686a5
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