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:
- 9931141afcf693caa7043d3f0145f939fd8a49a0a4202931b794f39a4a097562
- Size of remote file:
- 1.45 GB
- SHA256:
- 6519d2a4a0c8967bd2ae9c216624f2206bca2fe6e3a029b55f379b429598f601
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