wd14

A Python base cli tool for caption images with WD series, Joy-caption-pre-alpha,meta Llama 3.2 Vision Instruct and Qwen2 VL Instruct models.

Labeling extension for A1111/Forge/Neo - Gradio3/4

A Python base cli tool for tagging images with WD14 models.

A training set management tool based on SQLite, designed for each individual image to correspond to multiple annotations for different types of models.

⚡ An all-in-one workflow for Anima LoRA training: from data labeling and cleaning to automated training. Fully containerized with Docker Compose for one-click deployment.

WD14 booru tagging + Florence-2 natural-language captioning, one-click in the img2img toprow. For Stable Diffusion WebUI Forge (Classic Neo).

Searchable tag library, saved prompts, history and local AI (TIPO, Qwen-VL, WD14) for Stable Diffusion WebUI Forge.

该项目基于gradio、wd1.4、chatglm杂交组合，变相实现图像分析的功能，仅为自己练习Gradio，没有额外价值。

kohya 风格训练集的数据集标注器：编辑 caption、tag 过滤、WD14 批量打标、生成 dataset.toml · Dataset tagger for kohya-style training sets: edit captions, filter tags, batch WD14 tagging, dataset.toml · kohya 形式の学習セット向けデータセットタガー：キャプション編集、タグ絞り込み、WD14 一括タグ付け、dataset.toml 生成

Personal pipeline for archiving saved artwork: metadata + AI character tagging (anime-focused via WD14), human-in-the-loop review, files into your own sorted archive layout. Ingests from Reddit saves; built source-agnostic.

本地图像理解：让没有视觉能力的语言模型也能「看见」图片 — 零第三方依赖，自带基线 JPEG 解码与提示词反推，可脱离 Styx 独立使用