Instructions to use latentcat/control_v1u_sd15_brightness with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use latentcat/control_v1u_sd15_brightness with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("latentcat/control_v1u_sd15_brightness") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- a078c4cf4b19073e6a563292af0be7c34489ac97a415c3a05611ca947d55086f
- Size of remote file:
- 1.45 GB
- SHA256:
- cb335108bbc39f2035b678e318c077db25217e64937ddaf5d98b573e3f2be646
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