WD SwinV2 Tagger v3 is an image classification model trained to predict Danbooru-style tags (general, character, and rating) for anime and illustration images. It uses a Swin Transformer V2 backbone and was trained on a large Danbooru dataset. The model is commonly used in AI image generation workflows to analyze and tag generated or uploaded images.
Wd Swinv2 Tagger is an Other AI product. Automatically generating accurate content tags and ratings for anime-style illustrations. It is built as an open-source project for AI artists and image dataset curators. Wd Swinv2 Tagger is open source under the Open Source license. It runs on the web and API.
SmilingWolf builds and maintains Wd Swinv2 Tagger, and the product first shipped in 2023. Development happens publicly on GitHub with 48 stars. Key capabilities include image tagging, danbooru tags, and rating prediction.
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