ng the quality of generated images (measured by FID),
achieving speed-ups of 4.53x in Img128cond, 5.32x in AFHQ, 2.96x in
Img64uncond, and 2.51x in Img64cond without degrading FID scores or sample
quality. Code and checkpoints are accessible on
https://github.com/encoreus/GS-Jacobi_for_TarFlow</p>
            
            <p class="paper-tldr"><strong>TLDR</strong>: This paper accelerates TarFlow image generation, a transformer-based normalizing flow model, using a GS-Jacobi iteration approach, achieving si