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:
- 802d8d65fb9b7a80098a410ffc281e0af513daa7af802e944ae29a1508d59069
- Size of remote file:
- 1.45 GB
- SHA256:
- c3cbe076c0274e0d3a95c8e637a17e802ae1b93b09b04485fcfd2ff9dc9b5b6d
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