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
- Draw Things
- DiffusionBee
- Xet hash:
- 1fc46f520dbf848d2ce38ea96c973121a73ea3ca09c7ef110ac25f7f80dc812e
- Size of remote file:
- 1.45 GB
- SHA256:
- 9e936fe6814aafa62eb492b1ad8b6ddf5aec472e6c1a6eb344ae5c944f0de85f
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