Instructions to use XLabs-AI/flux-controlnet-canny-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XLabs-AI/flux-controlnet-canny-v3 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("XLabs-AI/flux-controlnet-canny-v3") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- f4a2886f81869395ef614bb3e449193c6c8cd527ad5c5f7d239e5300617f1291
- Size of remote file:
- 2.98 MB
- SHA256:
- 0edc9eb27def9683f741ac9e86ff807b16ea7df22536d168c998a6ea934ccad2
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