Instructions to use latentcat/control_v1u_sd15_illumination with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use latentcat/control_v1u_sd15_illumination with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("latentcat/control_v1u_sd15_illumination") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- f14e9d9319772975110d0d1f366caf7adc7314a2b740167a8c4723eaa06862a4
- Size of remote file:
- 1.78 MB
- SHA256:
- eecc024fbe79f958fbec05c2deb6caef90839875d7fe6eac0fd81793a0b5e76b
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