Instructions to use BertramRay/controlnet-fill-circle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BertramRay/controlnet-fill-circle with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("BertramRay/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 5000/diffusion_flax_model.msgpack from BertramRay/controlnet-fill-circle: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/BertramRay/controlnet-fill-circle/resolve/main/5000/diffusion_flax_model.msgpack
- Command line
-
hf download hf://BertramRay/controlnet-fill-circle/5000/diffusion_flax_model.msgpack
-
curl -L -o diffusion_flax_model.msgpack https://huggingface.co/BertramRay/controlnet-fill-circle/resolve/main/5000/diffusion_flax_model.msgpack
1.45 GB
- Xet hash:
- 97f4e5ebd54016f2c908d68684e691ff4fc30c818e4a946a4c0b58bf0030d96a
- Size of remote file:
- 1.45 GB
- SHA256:
- 493397f9a645e30bf43dc3165be3c3166af5ac743cb14e0a36e176b66c7686a5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.