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:
- 1452209928bb0d78057d54e07a8b5619d9c3bba4d1b45aea59148019650ba72d
- Size of remote file:
- 1.45 GB
- SHA256:
- aa78c19ddd9522ce715deba0c5944580757a64eae854a8d554c947c31735d902
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.