The Installer files and app file published here : https://www.patreon.com/posts/121441873

Installers

• https://www.patreon.com/posts/121441873

Info

• Developed by SECourses AuraSR GigaGAN APP is based on below repo :

• https://github.com/fal-ai/aura-sr

• GAN-based Super-Resolution for real-world images, a variation of the GigaGAN paper for image-conditioned upscaling.

• We have published 1-Click Installers for

• Windows

• RunPod

• Massed Compute

• A free Kaggle account notebook

• The APP requires minimal amount of VRAM — less than 5 GB and upscales each uploaded image into 4x resolution

• We have got batch folder processing feature as well

• The upscaling process is pretty fast since it is GAN based upscaler

• We have implemented Reduce Seam Artifacts feature as well and it works great