Data & Research · GitHub ·19 ★

hybrid-image-tagger

🚀 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.

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Details

Author
CodeBoy2006
Category
Data & Research
Platform
GitHub
Framework
openai
Language
python
Stars
19
First indexed
2026-05-15
Last active
2025-08-02
Directory sync
2026-05-15
@CodeBoy2006

Overview

🚀 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.

Quick start

git

git clone https://github.com/CodeBoy2006/hybrid-image-tagger

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What hybrid-image-tagger can do

promptdataimagediffusionstable
  • Prompt — prompt task automation.
  • Data — Reads, transforms, and analyses structured data.
  • Image — Generates or edits images from natural-language prompts.
  • Diffusion — diffusion task automation.
  • Stable — stable task automation.

Frequently asked questions

What is hybrid-image-tagger?
🚀 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.
How do I install hybrid-image-tagger?
Use git: `git clone https://github.com/CodeBoy2006/hybrid-image-tagger`. Full setup details on the source page linked above.
Is hybrid-image-tagger open source?
hybrid-image-tagger is published on GitHub.
What are alternatives to hybrid-image-tagger?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for hybrid-image-tagger is sourced from GitHub, published by CodeBoy2006.

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