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Cover image for AuraSR GigaGAN 4x Upscaler Gradio APP Published — Batch Upscale — Best GAN Model — Fast and Low VRAM
Furkan Gözükara
Furkan Gözükara

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AuraSR GigaGAN 4x Upscaler Gradio APP Published — Batch Upscale — Best GAN Model — Fast and Low VRAM

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

Installers

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

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