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

- Xet hash:
- 6107c096e958380f09394e462a94d961da711ec18fcd23cd25f34e7df83218f9
- Size of remote file:
- 2.33 MB
- SHA256:
- 59079609dae05da4f1a10bd86d427f7da91748cddc15f7a064e88951d2d43cd7
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