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
Ultimate SD Upscaler
#7
by 97Buckeye - opened
Genuine question, not trying to be rude...
How are we supposed to use these nice new ControlNets with the Ultimate SD Upscaler node? I see that you have coded your own Xlabs Sampler node. Are you going to do the same with the upscaler node? Or is there some other existing way that I can use it? I would love to use your ControlNets to help keep the image stable when upscaling with higher denoise.
I didn't try Ultimate SD Upscale with it yet, which i like.
But for some reason, the old "HiRes Fix Scale" Node gave me some nice results.
Not to say that this is perfect though.