Progressive Growing Generative Adversarial Network Calculator

Progressive Growing Generative Adversarial Network (ProGAN) Training Estimator

This tool provides a **rough estimation** of ProGAN training time and GPU memory requirements. Actual results can vary based on your specific model architecture, dataset, hardware, and hyperparameter tuning.

Estimates are based on common observations for single-GPU training.
Higher resolutions and larger datasets significantly increase resource needs.

1. Training Parameters

Desired Output Resolution: The final resolution of generated images.

Approx. Dataset Size (Number of Images): e.g., 30,000 for CelebA-HQ.

Estimated Training Epochs: Number of full passes over the dataset (ProGAN often uses more "training phases" than simple epochs).

Available GPU Memory (approx.): Your GPU's VRAM (Video RAM).

Estimation Results

Estimated Training Time: --

GPU Memory Suitability: --

Disclaimer: These are rough estimates. For precise requirements, always refer to academic papers, code repositories, and conduct small-scale tests on your specific hardware and dataset.