AuraSR-v2 is a GAN-based image super-resolution model designed for enlarging generated images, and it is a variant of the GigaGAN paper. The PyTorch implementation of this model is based on the unofficial lucidrains/gigagan-pytorch repository. It significantly enhances the resolution of images while preserving their quality, which is particularly important for applications requiring high-definition image outputs.