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
Download 20000/diffusion_flax_model.msgpack from baicuya/controlnet-fill-circle: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/baicuya/controlnet-fill-circle/resolve/main/20000/diffusion_flax_model.msgpack
- Command line
-
hf download hf://baicuya/controlnet-fill-circle/20000/diffusion_flax_model.msgpack
-
curl -L -o diffusion_flax_model.msgpack https://huggingface.co/baicuya/controlnet-fill-circle/resolve/main/20000/diffusion_flax_model.msgpack
1.45 GB
- Xet hash:
- 163e9ee462ec12b0cda106b2b37f03718520af27c0f194bc5ce256a94b58ab9e
- Size of remote file:
- 1.45 GB
- SHA256:
- c45937b4c1f5b51f01b624420127aff09d516f3397dcba7e58a89d69c7170f05
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