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StyleGAN2

Generate realistic, randomized images of real classes.

StyleGAN2 is a machine learning model that generates realistic images from random input state vectors.

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Model RepositoryHugging FaceResearch Paper

Technical Details

Model checkpoint:StyleGAN2 (afhqcat dataset)
Input resolution:1x512
Number of parameters:94.6M
Model size:361 MB

Applicable Scenarios

    Licenses

    Source Model:OTHER
    Deployable Model:AI Model Hub License

    Tags

    • real-time
      A “real-time” model can typically achieve 5-60 predictions per second. This translates to latency ranging up to 200 ms per prediction.

    Supported Compute Chipsets

    • Snapdragon® X Elite