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-2000/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-2000/optimizer.bin
- Command line
-
hf download hf://Jenniferkmc/controlnet-fill-circle/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Jenniferkmc/controlnet-fill-circle/resolve/main/checkpoint-2000/optimizer.bin
725 MB
- Xet hash:
- dc7a9a8d6a96f42f0353f51aa55863b96e60514e0ea538fef2028bae94fb8d89
- Size of remote file:
- 725 MB
- SHA256:
- e1749a1f667b751d1f6403e43b11b6b0fce6d82d3106d590967252d3ee82b590
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.