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
Rename controlnet_depth_flow_example.png to assets/controlnet_depth_flow_example.png
f0841a5 verified 
- Xet hash:
- 51c7575c1ec0d84505aef83f65f203adc56740b221acc85c719886ed6761d279
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- 1.27 MB
- SHA256:
- 3bc243a3ec725c2546530d1556ab123d856d43ee23c4d29cb894e26b05a0ebf3
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