StyleGAN2

    Generate realistic, randomized images of real classes.

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

    Qualcomm® QCS8550
    QCS8550 (Proxy)
    TorchScriptTFLite
    1.25s
    Inference Time
    1-2GB
    Memory Usage
    402CPU
    78GPU
    Layers

    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 IoT Devices

      • QCS8550 (Proxy)

      Supported IoT Chipsets

      • Qualcomm® QCS8550