How do you ensure stable training of generative models e g GANs when working with high-resolution data

Question

When i was working with high resolution data for GAN mode i faced the issue related to stable training of generative models. Can you give me python code so that i can handle this issue?

Answer 1

You can easily handle stable training of generative ai for high resolution images by referring to following code:

In this code main techniques like Gradient penalty function , Generator , Discriminator have been used.

This structure improves GAN training stability , especially when handling high-resolution images.