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Sdxl Detector
S
Sdxl Detector
Developed by Organika
This model was created by fine-tuning the umm-maybe AI art detector on the Wikimedia-SDXL image pair dataset, specifically designed to detect images generated by SDXL.
Downloads 21.10k
Release Time : 12/31/2023
Model Overview
The SDXL Detector is an image classification model used to distinguish between images generated by SDXL and real images. It performs exceptionally well on SDXL-generated images but may have lower performance on images generated by other models.
Model Features
High-performance SDXL image detection
Demonstrates significantly improved performance on images generated by SDXL, accurately distinguishing between SDXL-generated images and real images.
Broad topic coverage
Due to training data sourced from Wikimedia, the model can handle non-artistic images and a wide range of topics.
Non-commercial use
The model and its predecessors are only suitable for non-commercial (i.e., personal or educational) fair use.
Model Capabilities
Image classification
AI-generated image detection
SDXL image recognition
Use Cases
Content moderation
Detecting AI-generated content
Used for platform content moderation to identify images generated by SDXL.
High accuracy in identifying SDXL-generated images
Educational research
AI-generated image research
Used for academic research to analyze the characteristics and trends of AI-generated images.
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