Kirogii/MangaAMTL

Manga translation backend with a extension and support for (Local,Cloud) Translation models

stars

156

commits

Python

primary language

Aug 15, 2026

updated

cloud-ai

comics

extension-chrome

inpainting

local-ai

manga

ocr

translation

Browse cluster: Manga OCR and Translation →

README

Languages (MTL)
🇺🇸 English | 🇨🇳 简体中文 | 🇰🇷 한국어

V3.1.0 Translation Showcase (Text size is the only issue in typesetting currently)

MangaAMTL

Note: On First launch this installs multiple gbs of models

[!WARNING] Do not run this for production unless you know what you are doing (If you do not know what that is do not portforward this for other people)

[!CAUTION] This is in alpha testing bugs are to be expected if you have a problem make a Report including data from your console http://localhost:8000/console

Localhost Setup

Python 3.12 Is Needed for this

Download C++ Buildtools: https://visualstudio.microsoft.com/visual-cpp-build-tools/ _{(Make sure to select c++ buildtools)}
Download Latest Release: Latest Version
3: Cd inside cd MangaAMTL
4: Install dependencies pip install -r requirements.txt or for cuda pip install -r cudarequirements.txt
5: Run the development server python app.py

The application will start on: http://localhost:8000

Credits

Linux Setup

This uses wget not curl

Run apt install wget
Run wget https://raw.githubusercontent.com/Kirogii/MangaAMTL/refs/heads/main/Ubuntu.sh
Run chmod +x Ubuntu.sh
Run ./Ubuntu.sh

After you've done the setup just run 'Manga' to start the server if theres an update it will prompt you to update by typing 'update'

Features

Multi language translation from source support (Chinese,Korean,Japanese,Russian,Indonesian,English)
Model selection (You can install/add new models without much effort GGUF ONLY)
Colorizing Support

Problems

Llama-Cpp-Python erroring (ON Cuda version): Install: https://developer.nvidia.com/cuda-downloads (Then rerun the install command from above)
Cuda not being set on ocr/ai: pip install torch==2.9.1 torchvision==0.24.1 torchaudio==2.9.1 --index-url https://download.pytorch.org/whl/cu126

Contributors

Kirogii

156 commits

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Kirogii/MangaAMTL

Manga translation backend with a extension and support for (Local,Cloud) Translation models

stars

156

commits

Python

primary language

Aug 15, 2026

updated

cloud-ai

comics

extension-chrome

inpainting

local-ai

manga

ocr

translation

Browse cluster: Manga OCR and Translation →

README

Languages (MTL)
🇺🇸 English | 🇨🇳 简体中文 | 🇰🇷 한국어

V3.1.0 Translation Showcase (Text size is the only issue in typesetting currently)

MangaAMTL

Note: On First launch this installs multiple gbs of models

[!WARNING] Do not run this for production unless you know what you are doing (If you do not know what that is do not portforward this for other people)

[!CAUTION] This is in alpha testing bugs are to be expected if you have a problem make a Report including data from your console http://localhost:8000/console

Localhost Setup

Python 3.12 Is Needed for this

Download C++ Buildtools: https://visualstudio.microsoft.com/visual-cpp-build-tools/ _{(Make sure to select c++ buildtools)}
Download Latest Release: Latest Version
3: Cd inside cd MangaAMTL
4: Install dependencies pip install -r requirements.txt or for cuda pip install -r cudarequirements.txt
5: Run the development server python app.py

The application will start on: http://localhost:8000

Credits

Linux Setup

This uses wget not curl

Run apt install wget
Run wget https://raw.githubusercontent.com/Kirogii/MangaAMTL/refs/heads/main/Ubuntu.sh
Run chmod +x Ubuntu.sh
Run ./Ubuntu.sh

After you've done the setup just run 'Manga' to start the server if theres an update it will prompt you to update by typing 'update'

Features

Multi language translation from source support (Chinese,Korean,Japanese,Russian,Indonesian,English)
Model selection (You can install/add new models without much effort GGUF ONLY)
Colorizing Support

Problems

Llama-Cpp-Python erroring (ON Cuda version): Install: https://developer.nvidia.com/cuda-downloads (Then rerun the install command from above)
Cuda not being set on ocr/ai: pip install torch==2.9.1 torchvision==0.24.1 torchaudio==2.9.1 --index-url https://download.pytorch.org/whl/cu126