Instructions to use rsortino/ColorizeNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rsortino/ColorizeNet with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("rsortino/ColorizeNet") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19cb1158f4be57d81766cc60c045f41f2948b1e08cabbe06eb7aa6d50631fd21
- Size of remote file:
- 9.59 GB
- SHA256:
- ded70440cdcc2b61525dba52d73060cae0754bed1e49f83798355a40050f9a0c
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