git clone https://github.com/toriato/stable-diffusion-webui-wd14-tagger.git extensions/tagger 注:训练栏下面的预处理图片也可以打标签,但生成的关键词过于宽泛,效果不好 选择批量处理,输入目录和输出目录都设置为存放处理过的图片的文件夹 反推模型选择wd14-vit-v2-git(速度更快)或者wd14-swinv2-v2(-git...
'wd14-vit-v2-git', repo_id='SmilingWolf/wd-v1-4-vit-tagger-v2' ), 'wd14-convnext-v2-git': WaifuDiffusionInterrogator( 'wd14-convnext-v2-git', repo_id='SmilingWolf/wd-v1-4-convnext-tagger-v2' ), 'wd14-swinv2-v2-git': WaifuDiffusionInterrogator( ...
wd14-swinv2-v1 wd-v1-4-moat-tagger.v2 mld-caformer.dec-5-97527 mld-tresnetd.6-30000 API Docs API documentation can be accessed fromhttp://localhost:8002/docswhen the server is running. This documentation is automatically generated by FastAPI and provides an interactive interface to test ...
> - SwinV2: a memory and GPU hog. Best metrics of the bunch, my model is compatible with timm weights (so it can be used on PyTorch if somebody ports it) but slooow. Good for a few predictions, would reconsider for massive tagging jobs if you're pressed for time > - ConvNext...
For example, if using the repository SmilingWolf/wd-swinv2-tagger-v3 with a batch size of 4, and the training data is located in the parent folder train_data, it would be: python tag_images_by_wd14_tagger.py --onnx --repo_id SmilingWolf/wd-swinv2-tagger-v3 --bat...
"wd-swinv2-tagger-v3": "{HF_ENDPOINT}/SmilingWolf/wd-swinv2-tagger-v3", "wd-convnext-tagger-v3": "{HF_ENDPOINT}/SmilingWolf/wd-convnext-tagger-v3", "wd-v1-4-moat-tagger-v2": "{HF_ENDPOINT}/SmilingWolf/wd-v1-4-moat-tagger-v2", "wd-v1-4-convnextv2-tagger-v2": "{HF_END...
-wd14-swinv2-v1 -wd-v1-4-moat-tagger.v2 -mld-caformer.dec-5-97527 -mld-tresnetd.6-30000 ##API Docs API documentation can be accessed from[http://localhost:8002/docs](http://localhost:8002/docs)when the server is running. This documentation is automatically generated by FastAPI and...
wd14-swinv2-v2 1boy, arm hair, black footwear, cat, dirty, full body, furry, leg hair, male focus, shirt, shoes, simple background, socks, solo, standing, tail, white background, white shirt
wd14-swinv2-v1 wd-v1-4-moat-tagger.v2 mld-caformer.dec-5-97527 mld-tresnetd.6-30000 API Docs API documentation can be accessed fromhttp://localhost:8002/docswhen the server is running. This documentation is automatically generated by FastAPI and provides an interactive interface to test ...