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
- Draw Things
- DiffusionBee
Need multiple controlnets function, is it possible?
#8
by xuyamu - opened
Hi, for what it's worth, I was able to implement the Multi-Control Net stack node and Apply Multi-Control Net node using Xlabs canny + depth models however you just have to keep the strength low for best results.
Hi, for what it's worth, I was able to implement the Multi-Control Net stack node and Apply Multi-Control Net node using Xlabs canny + depth models however you just have to keep the strength low for best results.
Can you provide a multi-controlnet workflow? Thanks.
