Instructions to use KittyArtPhysics/controlnet-fill-circle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KittyArtPhysics/controlnet-fill-circle with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("KittyArtPhysics/controlnet-fill-circle") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 8ad9c52766ca130adb648d8f471e50103fcb9bb334613b15ccd4726ffdeb7a27
- Size of remote file:
- 1.45 GB
- SHA256:
- 693990c96468718bd25bb478eae97e9065a775f1cdc0aba7777ff0386c7f2e45
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