Instructions to use XLabs-AI/flux-controlnet-hed-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XLabs-AI/flux-controlnet-hed-v3 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("XLabs-AI/flux-controlnet-hed-v3") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download assets/hed_example.png from XLabs-AI/flux-controlnet-hed-v3: direct link, hf CLI and curl.
- Browser
- Download file 2.55 MB
-
https://huggingface.co/XLabs-AI/flux-controlnet-hed-v3/resolve/main/assets/hed_example.png
- Command line
-
hf download hf://XLabs-AI/flux-controlnet-hed-v3/assets/hed_example.png
-
curl -L -o hed_example.png https://huggingface.co/XLabs-AI/flux-controlnet-hed-v3/resolve/main/assets/hed_example.png
2.55 MB

- Xet hash:
- b7003176e297d6f43cfcecb9aab99fbb7897d7acabb6c9a965f67d3156f654a7
- Size of remote file:
- 2.55 MB
- SHA256:
- 8227c45327f7405ca6c26f1cd4c06da77db4657b7597f22faeb447f5044706d9
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