Image Classification
OpenCLIP
Safetensors
tryon-safety-classifier
content-moderation
safety
fashion
virtual-try-on
siglip2
Instructions to use Genlook/tryon-safety-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use Genlook/tryon-safety-classifier with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:Genlook/tryon-safety-classifier') tokenizer = open_clip.get_tokenizer('hf-hub:Genlook/tryon-safety-classifier') - Notebooks
- Google Colab
- Kaggle
Card: support and community links
Browse files
README.md
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# Try-On Safety Classifier
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Decides, from product photos, what a virtual try-on of that product would show. Built by [Genlook](https://genlook.app)
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to gate garments before they are rendered onto a shopper's photo.
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It answers one question per product: **if a shopper tries this on, how much skin or sexual content ends up in the result?**
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- **v1.0**: first release. Four levels, subject, swimwear and ravewear heads.
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## License
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Apache-2.0, like the base model.
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# Try-On Safety Classifier
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Decides, from product photos, what a virtual try-on of that product would show. Built by [Genlook](https://genlook.app?utm_source=huggingface&utm_medium=model&utm_campaign=tryon_safety_classifier)
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to gate garments before they are rendered onto a shopper's photo.
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It answers one question per product: **if a shopper tries this on, how much skin or sexual content ends up in the result?**
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- **v1.0**: first release. Four levels, subject, swimwear and ravewear heads.
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## Support and community
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Questions, false positives you want to report, or ideas for the next version: join the
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[Genlook Discord](https://discord.gg/gP9HsRUcvH) or open a discussion on this repo.
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Need virtual try-on with this gate built in? See the [Genlook Try-On API](https://platform.genlook.app?utm_source=huggingface&utm_medium=model&utm_campaign=tryon_safety_classifier).
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## License
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Apache-2.0, like the base model.
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