sdxl-detector is a fine-tuned image classification model based on Swin transformer architecture, trained via AutoTrain on Hugging Face. It identifies whether images were generated by Stable Diffusion XL. The model is available for use through the Transformers library, inference endpoints, and local deployment. It is intended for developers integrating SDXL detection into applications or research workflows.
In the Other AI space, Sdxl Detector takes a focused approach. It focuses on detecting whether an image was generated by SDXL. Sdxl Detector is an open-source project aimed at developers. The project is open source (Open Source). The product ships for the web and API.
It is developed by Organika.ai, and the product first shipped in 2023. Among its 4 catalogued features are Image Classification, transformers, and ONNX.
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