forked from https://github.com/picobyte/stable-diffusion-webui-wd14-tagger
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
usage: run.py [-h] (--dir DIR | --file FILE) [--threshold THRESHOLD] [--ext EXT] [--overwrite] [--cpu] [--rawtag] [--recursive] [--exclude-tag t1,t2,t3] [--model MODELNAME]
options:
-h, --help show this help message and exit
--dir DIR Predictions for all images in the directory
--file FILE Predictions for one file
--threshold THRESHOLD
Prediction threshold (default is 0.35)
--ext EXT Extension to add to caption file in case of dir option (default is .txt)
--overwrite Overwrite caption file if it exists
--cpu Use CPU only
--rawtag Use the raw output of the model
--recursive Enable recursive file search
--exclude-tag t1,t2,t3
Specify tags to exclude (Need comma-separated list)
--model MODELNAME modelname to use for prediction (default is wd14-convnextv2.v1)
single file
python run.py --file image.jpg
batch execution
python run.py --dir dir/dir
# Camie Tagger (released 2025)
python run.py --model camie-tagger --file image.jpg
# SmilingWolf large model. (released 2024)
python run.py --model wd-vit-large-tagger-v3 --file image.jpg
python run.py --model wd-eva02-large-tagger-v3 --file image.jpg
# SmilingWolf v3 model. (released 2024)
python run.py --model wd-v1-4-vit-tagger.v3 --file image.jpg
python run.py --model wd-v1-4-convnext-tagger.v3 --file image.jpg
python run.py --model wd-v1-4-swinv2-tagger.v3 --file image.jpg
# SmilingWolf v2 model. (released 2023)
python run.py --model wd-v1-4-moat-tagger.v2 --file image.jpg
python run.py --model wd14-vit.v2 --file image.jpg
python run.py --model wd14-convnext.v2 --file image.jpg
# SmilingWolf v1 model. (released 2022)
python run.py --model wd14-vit.v1 --file image.jpg
python run.py --model wd14-convnext.v1 --file image.jpg
python run.py --model wd14-convnextv2.v1 --file image.jpg
python run.py --model wd14-swinv2-v1 --file image.jpg
# Z3D-E621-Convnext
python run.py --model z3d-e621-convnext-toynya --file image.jpg
python run.py --model z3d-e621-convnext-silveroxides --file image.jpg
# kiriyamaX model.
python run.py --model mld-caformer.dec-5-97527 --file image.jpg
python run.py --model mld-tresnetd.6-30000 --file image.jpg
Requires CUDA 12.2 and cuDNN8.x.
pip install onnxruntime-gpu --extra-index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/
https://onnxruntime.ai/docs/install/
https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements
Public domain, except borrowed parts (e.g. dbimutils.py
)