|
--- |
|
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/2xHFA2k_LUDVAE_SPAN) |
|
|
|
# 2xHFA2k_LUDVAE_SPAN |
|
|
|
Name: 2xHFA2k_LUDVAE_SPAN |
|
Author: Philip Hofmann |
|
Release Date: 26.12.2023 |
|
License: CC BY 4.0 |
|
Network: SPAN |
|
Scale: 2 |
|
Purpose: A lightweight anime 2x upscaling model with realistic degradations, based on musl's HFA2k_LUDVAE dataset |
|
Iterations: 38,900 |
|
batch_size: 90 |
|
HR_size: 128 |
|
Epoch: 54 |
|
Dataset: HFA2kLUDVAE |
|
Number of train images: 10270 |
|
OTF Training: No |
|
Pretrained_Model_G: 2x_span_anime_pretrain |
|
|
|
Description: 2x lightweight anime upscaler with realistic degradations (compression, noise, blur) based on musl's HFA2k_LUDVAE dataset. |
|
|
|
 |
|
 |
|
|
