Instructions to use stabilityai/stable-diffusion-3.5-large-controlnet-depth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stabilityai/stable-diffusion-3.5-large-controlnet-depth with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("stabilityai/stable-diffusion-3.5-large-controlnet-depth") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download sample_result.png from stabilityai/stable-diffusion-3.5-large-controlnet-depth: direct link, hf CLI and curl.
- Browser
- Download file 1.5 MB
-
https://huggingface.co/stabilityai/stable-diffusion-3.5-large-controlnet-depth/resolve/main/sample_result.png
- Command line
-
hf download hf://stabilityai/stable-diffusion-3.5-large-controlnet-depth/sample_result.png
-
curl -L -o sample_result.png https://huggingface.co/stabilityai/stable-diffusion-3.5-large-controlnet-depth/resolve/main/sample_result.png
1.5 MB

- Xet hash:
- eb51bebc951a8eb051e21e093536e1d8d296f232e4ada855a0f501f5a848208f
- Size of remote file:
- 1.5 MB
- SHA256:
- f5498dd56351753a0ad29578759c37ebaa8e15ba1f35e5a293eaad2fc3a6193e
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