File size: 3,586 Bytes
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license: cc-by-4.0
pipeline_tag: image-to-image
tags:
- pytorch
- super-resolution
---
[Link to Github Release](https://github.com/Phhofm/models/releases/tag/2xHFA2kCompact)
# 2xHFA2kCompact
Name: 2xHFA2kCompact
Author: Philip Hofmann
Release Date: 18.04.2023
License: CC BY 4.0
Network: SRVGGNetCompact, with parameters: 600,652
Scale: 2
Purpose: A compact anime 2x upscaling model based on musl's HFA2k dataset
Iterations: 93,000
batch_size: 12
HR_size: 384
Epoch: 207 (require iter number per epoch: 214)
Dataset: HFA2k
Number of train images: 2568
OTF Training: Yes
Pretrained_Model_G: 4x_Compact_Pretrain
Training time: 24h+
Description: Compact 2x anime upscaler with otf compression and blur. The '2xHFA2kCompact.pth' (4.6 MB) is the original trained model file, the other model files are conversions using chaiNNer. 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/MTcxNjA4
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