Instructions to use latentcat/control_v1u_sd15_laplacian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use latentcat/control_v1u_sd15_laplacian with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("latentcat/control_v1u_sd15_laplacian") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- e147f49bf0979c64cb5eb351acf3f26c508637a1aa15e3352cf44f5e0dad92fb
- Size of remote file:
- 2.33 MB
- SHA256:
- 0bff826fea10228a772cb82a13ffead3653f3a0501082fa36580d48678129c2f
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