L4Ph / wd14-tagger-standalone

A simple wd14-tagger CLI version

forked from https://github.com/picobyte/stable-diffusion-webui-wd14-tagger

install

python -m venv venv
source venv/bin/activate
pip install -r requirements.txt

usage

usage: run.py [-h] (--dir DIR | --file FILE) [--threshold THRESHOLD] [--ext EXT] [--overwrite] [--cpu] [--rawtag] [--recursive] [--exclude-tag t1,t2,t3]
              [--model {wd14-vit.v1,wd14-vit.v2,wd14-convnext.v1,wd14-convnext.v2,wd14-convnextv2.v1,wd14-swinv2-v1,wd-v1-4-moat-tagger.v2,wd-v1-4-vit-tagger.v3,wd-v1-4-convnext-tagger.v3,wd-v1-4-swinv2-tagger.v3,mld-caformer.dec-5-97527,mld-tresnetd.6-30000}]

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 {wd14-vit.v1,wd14-vit.v2,wd14-convnext.v1,wd14-convnext.v2,wd14-convnextv2.v1,wd14-swinv2-v1,wd-v1-4-moat-tagger.v2,wd-v1-4-vit-tagger.v3,wd-v1-4-convnext-tagger.v3,wd-v1-4-swinv2-tagger.v3,mld-caformer.dec-5-97527,mld-tresnetd.6-30000}
                        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

Support Models

python run.py --file image.jpg --model wd14-vit.v1
python run.py --file image.jpg --model wd14-vit.v2
python run.py --file image.jpg --model wd14-convnext.v1
python run.py --file image.jpg --model wd14-convnext.v2
python run.py --file image.jpg --model wd14-convnextv2.v1
python run.py --file image.jpg --model wd14-swinv2-v1
python run.py --file image.jpg --model wd-v1-4-moat-tagger.v2
python run.py --file image.jpg --model wd-v1-4-vit-tagger.v3
python run.py --file image.jpg --model wd-v1-4-convnext-tagger.v3
python run.py --file image.jpg --model wd-v1-4-swinv2-tagger.v3
python run.py --file image.jpg --model mld-caformer.dec-5-97527
python run.py --file image.jpg --model mld-tresnetd.6-30000

Using GPU

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

Copyright

Public domain, except borrowed parts (e.g. dbimutils.py)