Abandoned at the altar: a Stable Diffusion tagger left behind
An Automatic1111 extension that auto-labels anime-style images with booru tags, now pointing users to a new maintainer.

What it does
This extension plugs into Automatic1111’s Web UI to interrogate images and spit out booru-style tags — the kind used on anime image boards. Feed it a single image or a batch, and it returns descriptive labels using models like DeepDanbooru or the Waifu Diffusion 1.4 tagger. The WD14 model downloads itself from HuggingFace on first run; DeepDanbooru models need manual placement in a models/deepdanbooru folder tree.
The interesting bit
The README opens with a blunt “This branch is unmaintained!” and immediately redirects to a fork by picobyte. That’s refreshingly honest in a space where dead projects often just rot. The code itself is largely borrowed — the author admits most of it came from DeepDanbooru and MrSmilingWolf’s tagger — so this is more plumbing than invention.
Key highlights
- Supports multiple interrogator models: WD14 (auto-download), DeepDanbooru variants, and an e621 model
- Batch processing for multiple images
- Korean translation of the README exists
- Public domain licensing (except borrowed utilities like
dbimutils.py) - Includes a model comparison doc for choosing between taggers
Caveats
- This branch is explicitly unmaintained; the README points to picobyte’s fork as the successor
- Installation requires a full Stable Diffusion restart, not just a refresh
- DeepDanbooru setup involves manual folder wrangling with a specific nested structure
Verdict
Worth a look if you’re still running Automatic1111 and need to tag training data or organize image collections. Skip it if you’re on ComfyUI or expect active support — this repo is essentially a redirect sign with 1,417 stars.