Training the model is extremely expensive computationally, but using it often isn't.

For example, StyleGAN takes months of compute-time on a cluster of high-end GPUs to train to get the photorealistic face model we've all seen. But generating new faces from the trained model only takes mere seconds on a low-end GPU or even a CPU.