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:
- 0db61f6599925f6eb7873980f6a001ee276486d13568d6b3ec6e95a0f442ca80
- Size of remote file:
- 1.45 GB
- SHA256:
- 30682f76576b00b41e7b8957afc284b536244dc36b712fbe02d91d3c6e701351
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.