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_cond.png from stabilityai/stable-diffusion-3.5-large-controlnet-depth: direct link, hf CLI and curl.
- Browser
- Download file 200 kB
-
https://huggingface.co/stabilityai/stable-diffusion-3.5-large-controlnet-depth/resolve/main/sample_cond.png
- Command line
-
hf download hf://stabilityai/stable-diffusion-3.5-large-controlnet-depth/sample_cond.png
-
curl -L -o sample_cond.png https://huggingface.co/stabilityai/stable-diffusion-3.5-large-controlnet-depth/resolve/main/sample_cond.png
200 kB

- Xet hash:
- 0535fd3eee33b44eb19e098a8dd5db0ad87941991c2f36baf602c2aef4bab8b4
- Size of remote file:
- 200 kB
- SHA256:
- aa3a1d7f397cfef3554a640c756b1398ee970fbd49a9e954c674a04170755c01
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