StyleGAN2
Generate realistic, randomized images of real classes.
StyleGAN2 is a machine learning model that generates realistic images from random input state vectors.
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-timeA “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