Instructions to use XLabs-AI/flux-controlnet-depth-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XLabs-AI/flux-controlnet-depth-v3 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("XLabs-AI/flux-controlnet-depth-v3") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download assets/depth_example2.png from XLabs-AI/flux-controlnet-depth-v3: direct link, hf CLI and curl.
- Browser
- Download file 4.23 MB
-
https://huggingface.co/XLabs-AI/flux-controlnet-depth-v3/resolve/main/assets/depth_example2.png
- Command line
-
hf download hf://XLabs-AI/flux-controlnet-depth-v3/assets/depth_example2.png
-
curl -L -o depth_example2.png https://huggingface.co/XLabs-AI/flux-controlnet-depth-v3/resolve/main/assets/depth_example2.png
4.23 MB

- Xet hash:
- 7a4885388886e87db537273a6565b13315539aaa5562410b9801ed8247ca4281
- Size of remote file:
- 4.23 MB
- SHA256:
- 1ed3839e59e4fd3d480c2701b19243abf142d660e3e0ff202c73aa3791cf1151
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.