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:
- 5627159039e8a320b613ba6bf086cac3af9d4494f23fc6ed6cee4fd3a5343db8
- Size of remote file:
- 1.45 GB
- SHA256:
- 3e6ec90be997871f437ec80fa57ccf123a585135ea2d4861a826a7f735c24418
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