CodeBoy2006/hybrid-image-tagger
π A powerful tool to automatically generate descriptive tags for image datasets using both WD Tagger and VLM, with a user-friendly web UI. Perfect for preparing training data for Stable Diffusion and LoRA.
This tool helps artists, designers, and AI model trainers automatically create detailed descriptive tags for image datasets. You input a collection of images, and it outputs a corresponding set of text files, each containing comma-separated tags that describe the image's content. This is especially useful for anyone preparing high-quality training data for AI models like Stable Diffusion or LoRA.
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Use this if you need to quickly and accurately generate rich descriptive tags for a large collection of images to prepare them for AI model training or content organization.
Not ideal if you need human-level subjective analysis or creative storytelling about images, as it focuses on factual content tagging rather than nuanced interpretation.
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Language
Python
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Last pushed
Aug 02, 2025
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