JoyTag is an advanced AI vision model designed for image tagging, prioritizing positive and inclusive content. It utilizes the Danbooru tag system and is suitable for various image types, ranging from hand-drawn illustrations to photographs. JoyTag supports multi-label classification with over 5000 tags and can be used for automatic image annotation, making it valuable for training diffusion models with limited text pairs. The model boasts superior performance, built on the ViT architecture with a CNN stem and GAP head.