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:
- 26eb479d6c676d913b4bd6d02cf592b7abd75ddf4b6a993508abc0ce3f43c866
- Size of remote file:
- 1.95 MB
- SHA256:
- c6e51494e142a28700c463ae4ec38c56926efa9bf0629c7aaf52e58e94db5223
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