forked from [https://github.com/picobyte/stable-diffusion-webui-wd14-tagger](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] [--gpu] [--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,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 the file if it exists --gpu Use GPU (Compatible CUDA and cuDNN required) --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,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 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/ ``` ``` python run.py --file image.jpg --gpu ``` https://onnxruntime.ai/docs/install/ https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements