https://github.com/kijai/ComfyUI-Florence2

https://huggingface.co/microsoft/Florence-2-base

This is a way to achieve a variety of visual processing tasks using the latest Microsoft/Florence-2 models

Florence-2 is an advanced vision foundation model that uses a prompt-based approach to handle a wide range of vision and vision-language tasks. Florence-2 can interpret simple text prompts to perform tasks like captioning, object detection, and segmentation. It leverages our FLD-5B dataset, containing 5.4 billion annotations across 126 million images, to master multi-task learning. The model's sequence-to-sequence architecture enables it to excel in both zero-shot and fine-tuned settings, proving to be a competitive vision foundation model.

Because it is so easy to use, I must recommend it to everyone to try it.

And welcome to my Channel

https://youtube.com/@cyberdicklang

https://space.bilibili.com/339984