Kim2091/AnimeSharpV2 · Hugging Face

2x-AnimeSharpV2 Set

Scale: 2

Architecture: RealPLKSR, MoSR GPS, ESRGAN

Author: Kim2091

License: CC BY-NC-SA 4.0

Purpose: Anime

Subject:

Input Type: Images

Date: 10-3-24

Size:

I/O Channels: 3(RGB)->3(RGB)

Dataset: HFA2k modified

Dataset Size: 2-3k

OTF (on the fly augmentations): No

Pretrained Model: 4x_realplksr_mssim_pretrain & 4x-MoSR_GPS_Pretrain

Iterations: 100k & 75k

Batch Size: 6-10

GT Size: 64-256

Description: This is my first anime model in years. Hopefully you guys can find a good use-case for it. Included are 5 models:

There are Sharp and Soft versions RPLSKR and MoSR, but only Soft for ESRGAN

When to use each:

Sharp: For heavily degraded sources. Sharp models have issues depth of field but are best at removing artifacts
Soft: For cleaner sources. Soft models preserve depth of field but may not remove other artifacts as well

Notes:

MoSR doesn't work in chaiNNer currently
To use MoSR:
1. Use the ONNX version in tools like VideoJaNai
2. Update spandrel in the latest version of ComfyUI

The ONNX version may produce slightly different results than the .pth version. If you have issues, try the .pth model.

Comparisons: https://slow.pics/c/4UI20Qlu