Merge pull request #17 from corkborg/large-model
Add support smilingwolf's large models.
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@@ -47,16 +47,27 @@ python run.py --dir dir/dir
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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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# 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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# 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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@@ -45,6 +45,14 @@ interrogators: Dict[str, Interrogator] = {
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'WD14 SwinV2 v3',
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repo_id='SmilingWolf/wd-swinv2-tagger-v3'
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),
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'wd-vit-large-tagger-v3': WaifuDiffusionInterrogator(
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'WD ViT-Large Tagger v3',
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repo_id='SmilingWolf/wd-vit-large-tagger-v3'
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),
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'wd-eva02-large-tagger-v3': WaifuDiffusionInterrogator(
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'WD EVA02-Large Tagger v3',
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repo_id='SmilingWolf/wd-eva02-large-tagger-v3'
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),
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'mld-caformer.dec-5-97527': MLDanbooruInterrogator(
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'ML-Danbooru Caformer dec-5-97527',
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repo_id='deepghs/ml-danbooru-onnx',
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