An experiment demonstrated that an image generated at 2048x2048 resolution, downscaled to 512, and then upscaled back to 2048x2048 using SeedVR2, resulted in an identical image to the original. This suggests that training models at lower resolutions like 512, combined with effective upscaling techniques, could be sufficient and more efficient in terms of speed and VRAM usage. The current challenge lies in VAEs distorting faces at these lower resolutions. AI
IMPACT Suggests potential for more efficient AI image model training by leveraging lower resolutions with advanced upscaling.
RANK_REASON User-conducted experiment demonstrating a technical finding about image generation resolution and upscaling. [lever_c_demoted from research: ic=1 ai=1.0]
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