Instructions to use Nahrawy/controlnet-VIDIT-FAID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nahrawy/controlnet-VIDIT-FAID with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Nahrawy/controlnet-VIDIT-FAID") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dbc3ad74e85a36c841b747376e88eeaa6a6ad6e91082f3274b22a3cdafb1741f
- Size of remote file:
- 1.45 GB
- SHA256:
- 866bb60a921c71b9467b22b54eab4f38d2dbc26b87dca7cc4303c9ebbd42da9e
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