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:
- b2c4761d6bec8e83cba3736f9884442228ef3514e1a2f1d748a70c5083c1a90e
- Size of remote file:
- 2.89 GB
- SHA256:
- f1fe6d18f24a7fee7d90461a6ba898368352102d0fa986e4c2675e0b23c12e4c
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