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:
- 8e6558b6ef24263771f3d9eef13eed0d2c2240cec797471523acb26dfd5bb3b4
- Size of remote file:
- 2.87 MB
- SHA256:
- 3db2381f226ebdc26c3139983d8624924240b7064b3150cf157a7436069200b2
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