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.fp16.bin from diffusers/controlnet-depth-sdxl-1.0: direct link, hf CLI and curl.
- Browser
- Download file 2.5 GB
-
https://huggingface.co/diffusers/controlnet-depth-sdxl-1.0/resolve/main/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://diffusers/controlnet-depth-sdxl-1.0/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/diffusers/controlnet-depth-sdxl-1.0/resolve/main/diffusion_pytorch_model.fp16.bin
2.5 GB
- Xet hash:
- f128187d5234047bdd629156cfacb2e2e1e04aa0b5ca54cdb0a3a064af9ed2f8
- Size of remote file:
- 2.5 GB
- SHA256:
- 7b139b4fb4b2819868616b27e3dc2935c8b4b55ec57b115c031a2d2807a61e53
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