How can I write code to generate images using a pretrained GAN model in PyTorch

Question

Can you help me with the code writing to generate images using a pre-trained GAN model in PyTorch?

Answer 1

 You can use a pre-trained GAN model in PyTorch to generate images, here is the code snippet you can refer:

In the above code, we are using Latent Vectors (z) that randomize noise input sampled from a standard normal distribution (torch.randn), a Pretrained Model that Loads your pretrained generator using the torch.load, Normalization, which scales output images from [-1, 1] to [0, 1] for saving, and Saving Images, which uses torchvision.utils.save_image for easy visualization.

Hence referring to the above, you can code to generate images using a pre-trained GAN model in PyTorch.