72 lines
2.3 KiB
Markdown
72 lines
2.3 KiB
Markdown
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forked from [https://github.com/picobyte/stable-diffusion-webui-wd14-tagger](https://github.com/picobyte/stable-diffusion-webui-wd14-tagger)
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## install
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```
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python -m venv venv
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source venv/bin/activate
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pip install -r requirements.txt
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```
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## usage
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```
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usage: run.py [-h] (--dir DIR | --file FILE) [--threshold THRESHOLD] [--ext EXT] [--overwrite] [--gpu]
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[--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}]
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options:
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-h, --help show this help message and exit
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--dir DIR Predictions for all images in the directory
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--file FILE Predictions for one file
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--threshold THRESHOLD
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Prediction threshold (default is 0.35)
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--ext EXT Extension to add to caption file in case of dir option (default is .txt)
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--overwrite Overwrite the file if it exists
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--gpu Use GPU (Compatible CUDA and cuDNN required)
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--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}
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modelname to use for prediction (default is wd14-convnextv2.v1)
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```
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single file
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```
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python run.py --file image.jpg
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```
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batch execution
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```
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python run.py --dir dir/dir
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```
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## Support Models
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```
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python run.py --file image.jpg --model wd14-vit.v1
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python run.py --file image.jpg --model wd14-vit.v2
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python run.py --file image.jpg --model wd14-convnext.v1
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python run.py --file image.jpg --model wd14-convnext.v2
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python run.py --file image.jpg --model wd14-convnextv2.v1
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python run.py --file image.jpg --model wd14-swinv2-v1
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python run.py --file image.jpg --model wd-v1-4-moat-tagger.v2
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python run.py --file image.jpg --model mld-caformer.dec-5-97527
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python run.py --file image.jpg --model mld-tresnetd.6-30000
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```
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## Using GPU
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Requires CUDA 12.2 and cuDNN8.x.
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```
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pip install onnxruntime-gpu --extra-index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/
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```
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```
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python run.py --file image.jpg --gpu
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```
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https://onnxruntime.ai/docs/install/
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https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements
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