jonasricker/aeroblade
[CVPR2024] AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error
This tool helps you determine if a digital image was created by a latent diffusion model like Stable Diffusion or Kandinsky, rather than being a real photograph. You provide an image or a folder of images, and it outputs a score indicating the likelihood of each image being AI-generated. This is useful for content moderators, journalists, or anyone needing to verify the authenticity of digital images.
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Use this if you need to quickly assess whether an image or a collection of images was generated by popular AI diffusion models, without requiring any prior training.
Not ideal if you need to detect AI-generated images from models other than Stable Diffusion 1/2 or Kandinsky 2.1, or if you need to detect deepfakes or other forms of image manipulation.
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Python
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Last pushed
Dec 09, 2024
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