Instructions to use SargeZT/controlnet-v1e-sdxl-depth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SargeZT/controlnet-v1e-sdxl-depth with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("SargeZT/controlnet-v1e-sdxl-depth") 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.bin from SargeZT/controlnet-v1e-sdxl-depth: direct link, hf CLI and curl.
- Browser
- Download file 5 GB
-
https://huggingface.co/SargeZT/controlnet-v1e-sdxl-depth/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://SargeZT/controlnet-v1e-sdxl-depth/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/SargeZT/controlnet-v1e-sdxl-depth/resolve/main/diffusion_pytorch_model.bin
5 GB
- Xet hash:
- acf929802f5a8d423633a354afacb5939196b1e686a4215945912a46df0d26de
- Size of remote file:
- 5 GB
- SHA256:
- 527a83d48884e568fa6b30c624cf721f6172cb49bf44c816fdd3d3a585d3fa88
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