Instructions to use lllyasviel/control_v11p_sd15_mlsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lllyasviel/control_v11p_sd15_mlsd with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("lllyasviel/control_v11p_sd15_mlsd") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c322c599bd4163cfc2f713e15a61b1a55d658ebff808905a91144d73a657bdb
- Size of remote file:
- 1.45 GB
- SHA256:
- edae7a20db7d6f51e71a15cc61a8018c12857951338bd060f0c07c1bcb95b421
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