NEW and Hot: AuraSR Upscaler
- 600M parameter
- Based on GigaGAN paper from Adobe
- GANs are much faster than diffusion upscaling
- Upscaling to 1024px in 1/4th of a second
Model and Demo are up on Huggingface Hub. Great work by Fal AI and Gokay Aydogan, respectively.
🔥 AuraSR is a GAN-based Super-Res upscaler for generated images, a variation of the GigaGAN paper for image-conditioned upscaling.
Demo by @NONDA30: https://huggingface.co/spaces/gokaygokay/AuraSR
🔥 Torch implementation is based on the unofficial lucidrains/gigagan-pytorch repository: https://github.com/lucidrains/gigagan-pytorch?ref=blog.fal.ai
- 600M parameter
- Based on GigaGAN paper from Adobe
- GANs are much faster than diffusion upscaling
- Upscaling to 1024px in 1/4th of a second
Model and Demo are up on Huggingface Hub. Great work by Fal AI and Gokay Aydogan, respectively.
🔥 AuraSR is a GAN-based Super-Res upscaler for generated images, a variation of the GigaGAN paper for image-conditioned upscaling.
Demo by @NONDA30: https://huggingface.co/spaces/gokaygokay/AuraSR
🔥 Torch implementation is based on the unofficial lucidrains/gigagan-pytorch repository: https://github.com/lucidrains/gigagan-pytorch?ref=blog.fal.ai