Instructions to use Jenniferkmc/controlnet-fill-circle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jenniferkmc/controlnet-fill-circle with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Jenniferkmc/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 checkpoint-5000/controlnet/diffusion_pytorch_model.bin from Jenniferkmc/controlnet-fill-circle: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/Jenniferkmc/controlnet-fill-circle/resolve/main/checkpoint-5000/controlnet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Jenniferkmc/controlnet-fill-circle/checkpoint-5000/controlnet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Jenniferkmc/controlnet-fill-circle/resolve/main/checkpoint-5000/controlnet/diffusion_pytorch_model.bin
1.45 GB
- Xet hash:
- 34d9017a81f3663b199f93d2dbe7ec306bde79ff377bba03fb096bc6f9eff73c
- Size of remote file:
- 1.45 GB
- SHA256:
- 86405952db01107cc4fa3c4360874b688dcf45c2c7482c4b3e1a0f54cae6ffd1
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