Instructions to use Nahrawy/controlnet-vidit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nahrawy/controlnet-vidit with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Nahrawy/controlnet-vidit") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download images_2.png from Nahrawy/controlnet-vidit: direct link, hf CLI and curl.
- Browser
- Download file 2.02 MB
-
https://huggingface.co/Nahrawy/controlnet-vidit/resolve/main/images_2.png
- Command line
-
hf download hf://Nahrawy/controlnet-vidit/images_2.png
-
curl -L -o images_2.png https://huggingface.co/Nahrawy/controlnet-vidit/resolve/main/images_2.png
2.02 MB

- Xet hash:
- cb04b1047d1b80a311f76d3a6b81fdf02695e25b5be97d40bf1fde46c4d2d191
- Size of remote file:
- 2.02 MB
- SHA256:
- f1bb458019ce077422d35b6f5f974bff58b41483b74d589c9325d253d145ea3e
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