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/optimizer.bin from Jenniferkmc/controlnet-fill-circle: direct link, hf CLI and curl.
- Browser
- Download file 725 MB
-
https://huggingface.co/Jenniferkmc/controlnet-fill-circle/resolve/main/checkpoint-5000/optimizer.bin
- Command line
-
hf download hf://Jenniferkmc/controlnet-fill-circle/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Jenniferkmc/controlnet-fill-circle/resolve/main/checkpoint-5000/optimizer.bin
725 MB
- Xet hash:
- 09ead786a60da2c16489340a0f4bba27cf5d7136834c2c2f67afb59f8f27f5db
- Size of remote file:
- 725 MB
- SHA256:
- 594e4734c4c9a39e4d9cf1bed0d40698ee24d4125e2ca15f8ef67af5abc3be23
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