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:
- 0d9d7530c1e26d0dc0d79008fcdf3267430bbc16b85ac6c0074190f9f9994749
- Size of remote file:
- 1.45 GB
- SHA256:
- b23dfe2bb695343f6e380ffc3945cc2a2c7ccb98f1a506747d1c57ea6a29e0c9
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