Group collaborative learning network, termed GCoNet+, which can effectively and efficiently co-salient objects in natural scenes. This repo pack GCoNet-plus as ComfyUI nodes, and make this fast SOTA model easier use for everyone.
In the first runtime, it needs 2.37
secodns for checkpoint loading and move to device
. Then each image image required less time for inference, depends on you inference device.
- Go to comfyUI custom_nodes folder,
ComfyUI/custom_nodes/
git clone https://github.com/viperyl/ComfyUI-GCoNet-plus.git
pip install requirements.txt
Make sure you have intall git lfs
- go to comfyUI models folder,
ComfyUI/models/
git clone https://huggingface.co/ViperYX/GCoNet_plus_checkpoints
The demo workflow placed in workflow/example_workflow.json
inference speed screenshot. batch mode can also speed up inference time, but i still have no idea how to present this function.
This model is designed for fast detection, so the model inference speed is incrediable high. But I havn’t encoutnered any scenario that needs such high inference speed, so I only did very basic development on this repo. If you have any ideas or enhancments, please let me know, i am happy to do it. In the final, if this repo helped you, pleas give a star to the model author GCoNet_plus