92 lines
3.3 KiB
Markdown
92 lines
3.3 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] [--cpu] [--rawtag] [--recursive] [--exclude-tag t1,t2,t3]
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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,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}]
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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 caption file if it exists
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--cpu Use CPU only
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--rawtag Use the raw output of the model
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--recursive Enable recursive file search
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--exclude-tag t1,t2,t3
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Specify tags to exclude (Need comma-separated list)
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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,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}
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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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# SmilingWolf large model. (released 2024)
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python run.py --file image.jpg --model wd-vit-large-tagger-v3
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python run.py --file image.jpg --model wd-eva02-large-tagger-v3
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# SmilingWolf v3 model. (released 2024)
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python run.py --file image.jpg --model wd-v1-4-vit-tagger.v3
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python run.py --file image.jpg --model wd-v1-4-convnext-tagger.v3
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python run.py --file image.jpg --model wd-v1-4-swinv2-tagger.v3
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# SmilingWolf v2 model. (released 2023)
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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 wd14-vit.v2
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python run.py --file image.jpg --model wd14-convnext.v2
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# SmilingWolf v1 model. (released 2022)
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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-convnext.v1
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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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# Z3D-E621-Convnext
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python run.py --file image.jpg --model z3d-e621-convnext-toynya
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python run.py --file image.jpg --model z3d-e621-convnext-silveroxides
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# kiriyamaX model.
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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 cuDNN9.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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https://onnxruntime.ai/docs/install/</br>
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https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements
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## Copyright
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Public domain, except borrowed parts (e.g. `dbimutils.py`) |