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
- Xet hash:
- 86cc393d7b08c0a10dbdbd46b2132cfb05b4fc76c329d6b11abc7fda0d7b0fd3
- Size of remote file:
- 1.45 GB
- SHA256:
- c7d0c73cb5fd51592e906f1dcf0c465642fe2e046c97ce47d4d5b0157cd0dba9
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