Instructions to use yuna199/controlnet-circle-example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yuna199/controlnet-circle-example with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("yuna199/controlnet-circle-example") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0566d5d9ddea53fb9b4c6a50bfd7ef38e90c302dd9666cf5051bd90cf38a489a
- Size of remote file:
- 2.89 GB
- SHA256:
- efa8e628f90bbbd8e356e34b03c63a2a5b6a3c31073ff83f8f9c3ca57e7b09a8
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