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:
- ea830e14a8dcf2e80cdca8c5bf339203c69c304869460692353ca5ace5b6e055
- Size of remote file:
- 1.45 GB
- SHA256:
- 32f310a205e2fb7b3cc69247c9e3e556b7b7978b661daa93b3e1511f357e4979
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.