Link to Github Release

2xHFA2kAVCCompact

Name: 2xHFA2kAVCCompact
Author: Philip Hofmann
Release Date: 18.06.2023
License: CC BY 4.0
Network: SRVGGNet
Scale: 2
Purpose: Fast 2x anime upscaling model that handles AVC (h264) degradation
Iterations: 111,000
batch_size: 4
HR_size: 256
Dataset: HFA2k_h264
Number of train images: 2568
OTF Training: No
Pretrained_Model_G: None

Description: A 2x Compact anime upscale model that handles AVC (h264) degradation. Applied h264 crf 20-28 degradation together with bicubic, bilinear, box and lanczos downsampling on the HFA2k dataset with Kim's dataset destroyer.

image 324388155-7cd72469-4631-4f20-b5af-227692b1879a

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no library tag.

Spaces using Phips/2xHFA2kAVCCompact 3