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AnimeJaNai v2 SuperUltraCompact
Real-time 2x Real-ESRGAN Compact/UltraCompact/SuperUltraCompact models designed for upscaling 1080p anime to 4K. The models correct the inherent blurriness found in anime while preserving details and colors. Optimized for upscaling from 1080p to 4K, but can still produce worthwhile results when upscaling some lower-resolution anime. Can be set up to run in real-time with mpv on Windows using https://github.com/the-database/mpv-upscale-2x_animejanai
Most HD anime are not produced in native 1080p resolution but rather have a production resolution between 720p and 1080p. When the anime is distributed to consumers, the video is scaled up to 1080p, causing scaling artifacts and blur in the video. The aim is to address these issues while upscaling to deliver a result that appears as if the anime was originally mastered in 4K resolution.
Development of the V2 models spanned over four months, during which over 200 release candidate models were trained and meticulously refined. The V2 models introduce several improvements compared to V1:
More accurate "native-res aware" sharpening, so the model works just as well on blurry native 720p sources, sharper native 1080p sources, and everything in between More accurate colors including line colors Improved artifact handling Better preservation and enhancement of background details and grain
Overall, the V2 models yield much more natural and faithful results compared to V1.
Architecture | Compact |
---|---|
Scale | 2x |
Size | 64nf16nc |
Color Mode | |
License | CC-BY-NC-SA-4.0 Private use Distribution Modifications Credit required Same License State Changes No Liability & Warranty |
Date | 2023-07-26 |
Dataset | 1080p anime |
Dataset size | 72521 |
Training iterations | 30000 |
Training batch size | 10 |
Training HR size | 512 |