Instructions to use latentcat/control_v1p_sd15_brightness with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use latentcat/control_v1p_sd15_brightness with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("latentcat/control_v1p_sd15_brightness") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Error while trying demo
#4
by UltimaThule - opened
Running demo gives me error, stating: "stat: path should be string, bytes, os.PathLike or integer, not NoneType"
With demo I am referring to the Inference API on the page (url: https://huggingface.co/latentcat/control_v1p_sd15_brightness?)