Instructions to use lllyasviel/sd-controlnet-seg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lllyasviel/sd-controlnet-seg with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("lllyasviel/sd-controlnet-seg") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da11e94b82600a1aa6e9bfb7e9c101b4df60e5a0b03c690f96d973ce5a36c853
- Size of remote file:
- 1.45 GB
- SHA256:
- 79accbfedbad0439ffe78a0c220fc4eac7d26ee6b3bc7e5e0458c0af1c79ff3c
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