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:
- 3d6e820553bce2c86bdef2dbcb70a11bafd6965e95398047cd543221e82f825f
- Size of remote file:
- 1.45 GB
- SHA256:
- 8f1e83c6bcec383a63d56b3dceae01c0b918670705ba744230bc7f7faa675dc2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.