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:
- eeb1734712daec3ce62d734634ed658fd55f0500af6907da158d1ced151bfb00
- Size of remote file:
- 1.83 MB
- SHA256:
- 72ac0d164facb3d359e4638f8e59adaa126bafc5695c10d2be1f1dedb0f095bb
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