4xHFA2k

Name: 4xHFA2k
License: CC BY 4.0
Network: RRDBNet
Scale: 4
Purpose: An anime images 4x upscaling model based on musl's HFA2k dataset
Iterations: 91,000
batch_size: 9
HR_size: 256
Epoch: 318 (require iter number per epoch: 286)
Dataset: HFA2k
Number of train images: 2568
OTF Training: Yes
Pretrained_Model_G: RealESRGAN_x4plus.pth
Training time: 36h on a P100 GPU

Description: 4x anime image upscaler with otf jpg compression and blur. Trained on musl's latest dataset release for Anime SISR, which has been extracted from modern anime films, where the selection criteria was high SNR, no DOF and high frequency information.

Examples: https://imgsli.com/MTc2NDgx (PS Example input images are small, each around 500x280 px)
Example input files: https://drive.google.com/drive/folders/1RI6gGqRy-KxDujbaIrpEMdvFkIWHvfPt
Example output files: https://drive.google.com/drive/folders/1GqHwPlFp6bIQl4R1AxmrmJ6vUUD8FUxH