Instructions to use diffusers/controlnet-depth-sdxl-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/controlnet-depth-sdxl-1.0 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("diffusers/controlnet-depth-sdxl-1.0") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-xl-base-1.0", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download diffusion_pytorch_model.safetensors from diffusers/controlnet-depth-sdxl-1.0: direct link, hf CLI and curl.
- Browser
- Download file 5 GB
-
https://huggingface.co/diffusers/controlnet-depth-sdxl-1.0/resolve/main/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://diffusers/controlnet-depth-sdxl-1.0/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/diffusers/controlnet-depth-sdxl-1.0/resolve/main/diffusion_pytorch_model.safetensors
5 GB
- Xet hash:
- bc23c2eed31b95104aca87b95198f28d110d256c0782705d98d87a232db691f6
- Size of remote file:
- 5 GB
- SHA256:
- b760b1ed26970c7c60abbcef08e7238bb9428bee510a405aff239e06a1471945
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