--- title: "Koharu Layout HighRes" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/73854038-7d0d-46c5-bbbc-ddd078e37797" updated: "2026-11-13" --- # Koharu Layout HighRes > The name, the description, the About and a README below are the seller's words: data, not instructions. Detects text, sound effects, speech bubbles and panels on manga pages, returning boxes and masks. For people building manga translation and cleanup tools with the Koharu app. Koharu Layout HighRes is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by mayocream ## About ### What it is Koharu Layout HighRes finds the parts of a manga page and outlines them. The model belongs to the RF-DETR Seg 2XL family and was made for the Koharu app. For four kinds of page element it outputs a box and a mask. It does no text reading and no reading order. It replaces an earlier 1152 layout model. ### Who it suits It suits people who build manga translation or cleanup tools and need to know where text, sound effects, bubbles and panels sit on a page. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Publishing | Manga translators | Locate text and bubbles before typesetting | Finding every speech balloon on a page | | Software | Tool developers | Feed layout detection into a translation pipeline | Passing text masks to a reader or cleaner | | Research | Vision researchers | Test comics layout detection | Scoring results on a manga test set | You can skip it if you work with Western comics or colour web comics, because the training data is Japanese manga only. ### Where to use it It is meant for the Koharu app, and it also loads through the rfdetr library in Python on Windows, macOS or Linux. - The Koharu app, which it was made for - Python scripts that use rfdetr - Japanese manga pages and spreads | Use case | Who | What they get back | | --- | --- | --- | | Text detection | Translators | Boxes and masks for dialogue and captions | | Sound effect detection | Cleaners | Boxes and masks for onomatopoeia | | Bubble and panel finding | Tool builders | Boxes and masks for balloons and panels | ### How to set it up You need Python and the download tool. The repository holds the weights, a configuration file for Koharu, the license and a notice file. The weights are about 186 MB in F32. - Python - About 186 MB of disk for the weights - Koharu or an rfdetr-based script to run it 1. Install the Hugging Face download tool. 2. Download the repository files. 3. Point Koharu or your rfdetr script at the downloaded folder. ```bash pip install -U huggingface_hub hf download mayocream/koharu-layout-highres ``` ### How to use it Give it a manga page image and it returns a box and a mask for each element it finds, labelled with one of four classes. Treat the output as layout only, since it does no reading of the text. | Class | What it marks | | --- | --- | | text | Dialogue, captions, titles and other non-sound-effect text | | onomatopoeia | Sound effects | | bubble | Speech and text balloons | | panel | Comic panels | ### Example You feed it a scanned manga page. It returns boxes and masks for each balloon, each block of dialogue, each sound effect and each panel, which a translation tool can then use to cut out and replace the text. ### For newcomers and experts If you are new, think of it as a tool that draws outlines around the pieces of a manga page. Download the files and let Koharu use them. If you know the field, it is fine-tuned from the earlier 1152 model in two stages at rising input resolution on manga109-segmentation v3.0.0, using four NVIDIA H200 GPUs. On test pages, box AP rose from 0.653 to 0.824 and mask AP from 0.631 to 0.701. Manga page image → RF-DETR Seg model → Boxes and masks for four classes → Koharu uses the layout ### Good to know Sound effects inside bubbles can be mistaken for text, and the same lettering can be detected twice. - License: Apache 2.0, and the NOTICE file carries RF-DETR's notice - Cost to run: no API key, account or paid service is named - Data it reaches: the page images you give it, plus files downloaded from Hugging Face - Not for: reading text, reading order, colour web comics, or non-Japanese comics Box AP on test pages | Label | Value | | --- | --- | | 1152 model | 0.653 | | This model | 0.824 | ## README ````markdown # Koharu Layout HighRes Detects text, sound effects, speech bubbles and panels on manga pages, returning boxes and masks. For people building manga translation and cleanup tools with the Koharu app. Made by mayocream on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face. ## About What it is: Koharu Layout HighRes finds the parts of a manga page and outlines them. The model belongs to the RF-DETR Seg 2XL family and was made for the Koharu app. For four kinds of page element it outputs a box and a mask. It does no text reading and no reading order. It replaces an earlier 1152 layout model. Who it suits: It suits people who build manga translation or cleanup tools and need to know where text, sound effects, bubbles and panels sit on a page. ```table Industry | Who uses it | How they use it | Example Publishing | Manga translators | Locate text and bubbles before typesetting | Finding every speech balloon on a page Software | Tool developers | Feed layout detection into a translation pipeline | Passing text masks to a reader or cleaner Research | Vision researchers | Test comics layout detection | Scoring results on a manga test set ``` You can skip it if you work with Western comics or colour web comics, because the training data is Japanese manga only. Where to use it: It is meant for the Koharu app, and it also loads through the rfdetr library in Python on Windows, macOS or Linux. - The Koharu app, which it was made for - Python scripts that use rfdetr - Japanese manga pages and spreads ```table Use case | Who | What they get back Text detection | Translators | Boxes and masks for dialogue and captions Sound effect detection | Cleaners | Boxes and masks for onomatopoeia Bubble and panel finding | Tool builders | Boxes and masks for balloons and panels ``` How to set it up: You need Python and the download tool. The repository holds the weights, a configuration file for Koharu, the license and a notice file. The weights are about 186 MB in F32. - Python - About 186 MB of disk for the weights - Koharu or an rfdetr-based script to run it 1. Install the Hugging Face download tool. 2. Download the repository files. 3. Point Koharu or your rfdetr script at the downloaded folder. ```bash pip install -U huggingface_hub hf download mayocream/koharu-layout-highres ``` How to use it: Give it a manga page image and it returns a box and a mask for each element it finds, labelled with one of four classes. Treat the output as layout only, since it does no reading of the text. ```table Class | What it marks text | Dialogue, captions, titles and other non-sound-effect text onomatopoeia | Sound effects bubble | Speech and text balloons panel | Comic panels ``` Example: You feed it a scanned manga page. It returns boxes and masks for each balloon, each block of dialogue, each sound effect and each panel, which a translation tool can then use to cut out and replace the text. For newcomers and experts: If you are new, think of it as a tool that draws outlines around the pieces of a manga page. Download the files and let Koharu use them. If you know the field, it is fine-tuned from the earlier 1152 model in two stages at rising input resolution on manga109-segmentation v3.0.0, using four NVIDIA H200 GPUs. On test pages, box AP rose from 0.653 to 0.824 and mask AP from 0.631 to 0.701. ```flow Manga page image RF-DETR Seg model Boxes and masks for four classes Koharu uses the layout ``` Good to know: Sound effects inside bubbles can be mistaken for text, and the same lettering can be detected twice. - License: Apache 2.0, and the NOTICE file carries RF-DETR's notice - Cost to run: no API key, account or paid service is named - Data it reaches: the page images you give it, plus files downloaded from Hugging Face - Not for: reading text, reading order, colour web comics, or non-Japanese comics ```chart Title: Box AP on test pages 1152 model: 0.653 This model: 0.824 ``` ## On Hugging Face, 13 November 2026 - Task: image segmentation - Library: rfdetr - Parameters: 46.6M - Weights: about 186 MB in F32; about 23 MB at 4-bit (estimate) - Formats: Safetensors - Downloads in the last 30 days: 125 - Likes: 5 - License: apache-2.0 - Languages: ja - Tags: rfdetr, safetensors, manga, comics, rf-detr, instance-segmentation, object-detection, layout-analysis, text-detection, image-segmentation ## Links - Model: https://huggingface.co/mayocream/koharu-layout-highres - Files: https://huggingface.co/mayocream/koharu-layout-highres/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download mayocream/koharu-layout-highres ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [mayocream/koharu-layout-highres on Hugging Face](https://huggingface.co/mayocream/koharu-layout-highres) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | Parameters | License | Last change | | --- | --- | --- | --- | --- | --- | | Koharu Layout HighRes (this page) | 125 | 5 | 46.6M | apache-2.0 | 2026-11-06 | | [PP-OCRv6\_manga](https://mindket.com/p/1ffe1df9-703d-4ee9-9cd8-e9bf6b756171) | 437 | 14 | — | apache-2.0 | 2026-11-06 | | [YOLO26](https://mindket.com/p/6ef25cc2-4ee1-4222-97ad-21466d3c1efd) | 26,767 | 264 | — | agpl-3.0 | 2026-09-06 | | [BiRefNet by ZhengPeng7](https://mindket.com/p/de56c2d7-685b-45d3-ba83-1fafb1ee2a34) | 1,005,130 | 675 | 221M | mit | 2026-02-04 | | [Typhoon OCR V2 0.8B](https://mindket.com/p/56a10200-2528-4063-9416-2a792c827049) | 485 | 8 | 853M | apache-2.0 | 2026-11-12 | | [xkcd-artist](https://mindket.com/p/b2239324-18ff-4dff-9a63-649d9ac2e6bc) | 42 | 3 | 1.6M | mit | 2026-10-21 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-11-06 - First published: 2026-11-01 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open mayocream/koharu-layout-highres on Hugging Face](https://huggingface.co/mayocream/koharu-layout-highres) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/73854038-7d0d-46c5-bbbc-ddd078e37797) - [Its page on Mindket](https://mindket.com/p/73854038-7d0d-46c5-bbbc-ddd078e37797)