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.safetensors 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.safetensors
- Command line
-
hf download hf://diffusers/controlnet-depth-sdxl-1.0/diffusion_pytorch_model.fp16.safetensors
-
curl -L -o diffusion_pytorch_model.fp16.safetensors https://huggingface.co/diffusers/controlnet-depth-sdxl-1.0/resolve/main/diffusion_pytorch_model.fp16.safetensors
2.5 GB
- Xet hash:
- b395967d286f622c4f41fa19ba5639216d52915ee05da7de4162481dfbd6cc69
- Size of remote file:
- 2.5 GB
- SHA256:
- 66a6813e6bd7270ecfe68206a59ddd605a011ae85321188376605c66e0a4f303
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