BSS WD14 Batch Tagger v2.0

Custom nodes for ComfyUI for automatic WD14 image tagging, batch workflows, tag postprocessing, caption export, and basic tag analytics. Набор нод для ComfyUI для WD14-теггинга, постобработки тегов, сохранения caption и базовой аналитики датасета.

Что нового в v2.0

• ✅ Мультипорог по категориям: general, character, meta, rating

• ✅ Batch-in/Batch-out нода для массового теггинга

• ✅ Нода постобработки тегов (dedupe, сортировка, prepend/append/exclude)

• ✅ Нода сохранения caption в txt/json/csv

• ✅ Нода аналитики тегов (top-k + JSON статистика)

• WD14 v3 model support (ViT / SwinV2 / EVA02 / ConvNeXT)

• Automatic model download from Hugging Face

• Single-image and batch tagging nodes

• Category-aware thresholds (general, character, meta, rating)

• Tag postprocessing (dedupe, sorting, include/exclude operations)

• Caption saving to txt, json, csv

• Tag frequency analytics (top-k + JSON stats)

Ноды

• 4 WD14 v3 Models: ViT, SwinV2, EVA02, ConvNeXT
• Auto Download: Models download automatically from Hugging Face
• GPU Support: CUDA acceleration for faster processing
• Batch Processing: Process multiple images from folders
• Format Support: JPG, JPEG, PNG, WEBP
• Custom Tags: Add/remove tags as needed
• ComfyUI IMAGE Compatibility: Uses native tensor image format for modern ComfyUI builds

1) BSS Load Images from Folder 📂

Загружает изображения из папки (JPG/JPEG/PNG/WEBP) и отдает IMAGE + имена файлов.

2) BSS WD14 Batch Tagger 🌿

Теггинг одного изображения с сохранением .txt.

1. Open ComfyUI Manager
2. Find BSS WD14 Batch Tagger
3. Install and restart ComfyUI

Manual

cd ComfyUI/custom_nodes
git clone https://github.com/BlackSnowSkill/wd14_batch_tagger.git
cd wd14_batch_tagger
pip install -r requirements.txt

Included Nodes

Параметры порогов:

• general_threshold
• character_threshold
• meta_threshold
• rating_threshold

3) BSS WD14 Tagger Batch ⚡

Теггинг списка изображений за один вызов.

Выходы:

• tags (список строк)
• tags_json (json с score/category)

4) BSS Tags Postprocess 🧹

Очистка и нормализация тегов:

• remove duplicates
• sort alphabetically
• prepend/append/exclude
• replace underscores

5) BSS Save Captions 💾

Сохраняет caption в txt/json/csv, есть overwrite и suffix.

1. Use BSS Load Images from Folder to load your images
2. Connect to BSS WD14 Batch Tagger for each image
3. Set output folder for tag files
4. Run the workflow

• BSS Load Images from Folder 📂 — loads folder images (jpg, jpeg, png, webp)
• BSS WD14 Batch Tagger 🌿 — tags a single image and can save .txt
• BSS WD14 Tagger Batch ⚡ — tags a list/batch and returns JSON scores
• BSS Tags Postprocess 🧹 — cleanup/sort/dedupe/filter tag strings
• BSS Save Captions 💾 — save captions in txt/json/csv
• BSS Tag Analytics 📊 — compute top tag stats

Usage (basic pipeline)

1. Load images with BSS Load Images from Folder 📂
2. Run tagging via:
   • BSS WD14 Batch Tagger 🌿 (single), or
   • BSS WD14 Tagger Batch ⚡ (batch)
3. (Optional) Clean results using BSS Tags Postprocess 🧹
4. (Optional) Save captions with BSS Save Captions 💾
5. (Optional) Inspect distribution using BSS Tag Analytics 📊

• Model: Choose WD14 model (auto-downloads if needed)
• Threshold: Tag confidence (0.35 default)
• Character Threshold: Separate threshold for character tags (WD category 4)
• GPU: Enable for faster processing
• Prepend/Exclude: Add custom tags or remove unwanted ones

ComfyUI Compatibility

• Tested against current ComfyUI custom node API style (NODE_CLASS_MAPPINGS, INPUT_TYPES, RETURN_TYPES).
• Uses ComfyUI-native IMAGE tensors (float32, range 0..1) in the loader node output.
• Tagger node accepts both tensor images (ComfyUI-native) and numpy arrays for backward compatibility.

Models

Рекомендуемые стартовые параметры WD14:

• general_threshold: 0.35
• character_threshold: 0.85
• meta_threshold: 0.50
• rating_threshold: 0.50

Требования

• Python 3.8+
• ComfyUI
• onnxruntime>=1.18.0,<2.0.0
• CUDA GPU (optional)

Changelog

v2.0.0

• Added batch node: BSS WD14 Tagger Batch ⚡
• Added postprocessing node: BSS Tags Postprocess 🧹
• Added caption writer node: BSS Save Captions 💾
• Added analytics node: BSS Tag Analytics 📊
• Added category-aware WD14 thresholds (general/character/meta/rating)
• Improved image normalization compatibility with ComfyUI IMAGE

v1.0.1

• Stabilized onnxruntime handling and compatibility checks
• Improved model loading reliability

6) BSS Tag Analytics 📊

Считает top-k частых тегов и возвращает JSON статистику.

Установка

cd ComfyUI/custom_nodes
git clone https://github.com/BlackSnowSkill/wd14_batch_tagger.git
cd wd14_batch_tagger
pip install -r requirements.txt

Совместимость

• Python 3.8+
• ComfyUI (актуальные сборки)
• onnxruntime >=1.18.0,<2.0.0

License

MIT

MIT License MIT License - see LICENSE file for details.

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Author: Blacksnowskill