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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/2xHFA2kAVCSRFormer_light)
# 2xHFA2kAVCSRFormer_light
Name: 2xHFA2kAVCSRFormer_light
Author: Philip Hofmann
Release Date: 11.07.2023
License: CC BY 4.0
Network: SRFormer_light
Scale: 2
Purpose: 2x anime upscaling model that handles AVC (h264) compression
Iterations: 140000
batch_size: 2-4
HR_size: 128-192
Dataset: HFA2k_h264
Number of train images: 2568
OTF Training: No
Pretrained_Model_G: SRFormerLight_SRx2_DIV2K.pth
Description: 2x SRFormer_light anime upscale model that handles AVC (h264) compression since h264 crf 20-28 degradation together with bicubic, bilinear, box and lanczos downsampling has been applied on musl's HFA2k dataset with Kim's dataset destroyer for training.
If you want to run this model with chaiNNer (or another application) you need to use the onnx files with an onnx upscale node. All onnx conversions can be found in the [onnx folder](https://github.com/Phhofm/models/tree/main/2xHFA2kAVCSRFormer_light/onnx) on my repo.
Example 1: https://imgsli.com/MTkxMTQz
Example 2: https://imgsli.com/MTkxMTQ0
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