AnimeSharpV4_Fast_RCAN_PU

Purpose: Anime

This is a successor to AnimeSharpV3 based on RCAN instead of ESRGAN. It outperforms both versions of AnimeSharpV3 in every capacity. It's sharper, retains even more detail, and has very few artifacts. It is extremely faithful to the input image, even with heavily compressed inputs.

To use this model, you must update to the latest chaiNNer nightly build

The 2x-AnimeSharpV4_Fast_RCAN_PU model is trained on RCAN PixelUnshuffle. This is much faster, but comes at the cost of quality. I believe the model is ~95% the quality of the full V4 RCAN model, but ~6x faster in Pytorch and ~4x faster in TensorRT. This model is ideal for video processing, and as such was trained to handle MPEG2 & H264 compression.

Comparisons: https://slow.pics/c/63Qu8HTN https://slow.pics/c/DBJPDJM9