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:
- 2be11d3202abda4205c4379aeddbbb3504afb0d551b7a2554de510dd33aa7cb8
- Size of remote file:
- 2.35 MB
- SHA256:
- ab151ed917ffc0e06627b238a17e07111f4d5223072b0234247b4249e8f5376e
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