Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/breadyk/scansenhancer

App that makes enhancing manga/comic scans easier by combining various Upscaling models.
https://github.com/breadyk/scansenhancer

dotnet-application manga pytorch upscaler windows-forms

Last synced: about 1 month ago
JSON representation

App that makes enhancing manga/comic scans easier by combining various Upscaling models.

Host: GitHub
URL: https://github.com/breadyk/scansenhancer
Owner: breadyk
Created: 2024-04-26T16:47:23.000Z (7 months ago)
Default Branch: main
Last Pushed: 2024-08-16T20:15:15.000Z (3 months ago)
Last Synced: 2024-10-14T05:01:27.677Z (about 1 month ago)
Topics: dotnet-application, manga, pytorch, upscaler, windows-forms
Language: C#
Homepage:
Size: 24.2 MB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

        # Scans Enhanсer

![MainMenu](https://imgdb.net/storage/uploads/5830a13e53fd848eb21b9425a152716e3818e497d8bbb68467532f5fb92f897c.png)

>App that makes enhancing manga/comic scans easier by combining various upscaling models.

## GPU Support

It's highly recommended to use this on Nvidia GPU as it's CUDA cores makes processing MUCH faster.

If you have a non-Nvidia GPU, such as AMD Radeon or Intel ARC, you'll have to do all the calculations on your CPU.

## Known issues

* The program works with paths containing only Latin characters.

## To-do list

* Localisation via external files;

* Non-latin path names support;

* Support for configs.

## Credits

Used repositories:

* [umzi2/sr-core](https://github.com/umzi2/sr-core)

* [umzi2/manga_utils](https://github.com/umzi2/manga_utils)

Used models:

* Bunzero++

  * [1x-MangaJPEGHQPlus](https://openmodeldb.info/models/1x-MangaJPEGHQPlus)

  * [1x-MangaJPEGHQ](https://openmodeldb.info/models/1x-MangaJPEGHQ)

  * [1x-MangaJPEGLQ](https://openmodeldb.info/models/1x-MangaJPEGLQ)

  * [2x-MangaScaleV3](https://openmodeldb.info/models/2x-MangaScaleV3)

* Twittman

  * [1x-SaiyaJinDeJpeg](https://openmodeldb.info/models/1x-SaiyaJin-DeJpeg)

* the database

  * [4x-IllustrationJaNai_V1_DAT2](https://openmodeldb.info/models/4x-IllustrationJaNai-V1-DAT2)

  * [4x_MangaJaNai_2048p_V1RC1_ESRGAN_70k](https://github.com/the-database/MangaJaNai/releases/tag/1.0.0)

  * [4x_MangaJaNai_1920p_V1RC1_ESRGAN_105k](https://github.com/the-database/MangaJaNai/releases/tag/1.0.0)

  * [4x_MangaJaNai_1600p_V1RC1_ESRGAN_70k](https://github.com/the-database/MangaJaNai/releases/tag/1.0.0)

  * [4x_MangaJaNai_1500p_V1RC1_ESRGAN_105k](https://github.com/the-database/MangaJaNai/releases/tag/1.0.0)

  * [4x_MangaJaNai_1400p_V1RC3_ESRGAN_105k](https://github.com/the-database/MangaJaNai/releases/tag/1.0.0)

  * [4x_MangaJaNai_1300p_V1RC1_ESRGAN_75k](https://github.com/the-database/MangaJaNai/releases/tag/1.0.0)

  * [4x_MangaJaNai_1200p_V1RC71_ESRGAN_70k](https://github.com/the-database/MangaJaNai/releases/tag/1.0.0)

* umzi

  * [4x_DWTP_DS_dat2_v3_2](https://openmodeldb.info/models/4x-DWTP-DS-dat2-v3-2)

  * 4x_DWTP_DS_rgts_v1

  * 4x_DWTP_DS_atdl

  * 4x_DWTP_DS_atdl2

  * 4x_DWTP_DS_atdl3

* end user license agreement#9756

  * [4x-eula-digimanga-bw-v2-nc1](https://openmodeldb.info/models/4x-eula-digimanga-bw-v2-nc1)

  

>All used models can be downloaded in a single **.zip** file from [here](https://drive.google.com/file/d/1JHkPYDXUDaUeFDwv4cyJNyh_E04Orivv/view?usp=sharing).