Instructions to use andsteing/controlnet-fill-circle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use andsteing/controlnet-fill-circle with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("andsteing/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 30000/diffusion_flax_model.msgpack from andsteing/controlnet-fill-circle: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/andsteing/controlnet-fill-circle/resolve/main/30000/diffusion_flax_model.msgpack
- Command line
-
hf download hf://andsteing/controlnet-fill-circle/30000/diffusion_flax_model.msgpack
-
curl -L -o diffusion_flax_model.msgpack https://huggingface.co/andsteing/controlnet-fill-circle/resolve/main/30000/diffusion_flax_model.msgpack
1.45 GB
- Xet hash:
- 49c3440119be27b66da2e3fb6586a3e6c5995bbdfd365ea02dedcff1ebfe5231
- Size of remote file:
- 1.45 GB
- SHA256:
- ff8f01b775893cf08688ac7774d80b91ef942ce48e0d4f50c6f113fdc88ba8b6
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