Instructions to use lllyasviel/sd-controlnet-depth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lllyasviel/sd-controlnet-depth with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("lllyasviel/sd-controlnet-depth") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 640ae0f93a47bf9136b2952dad5e68a479fe7dae3428d86475e65aa75ec33ed5
- Size of remote file:
- 1.45 GB
- SHA256:
- ae5c0b459ab737bfc336d2bd364959f5bcdacfbb0a6dcef3e321639d9e03ad7d
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