Browse and search for titles on JMComic from a desktop app without using a web browser.
Download content from JMComic to read offline.
Improve low-resolution image quality using built-in AI upscaling tools like waifu2x or Real-ESRGAN.
Read downloaded content directly inside the app on Windows, macOS, or Linux.
Windows: extract zip and run exe. macOS: drag dmg to Applications. Linux: install Qt lib then run binary. Some Windows users need VC++ runtime and Vulkan library for AI upscaling.
JMComic-qt is a desktop client for JMComic (also referred to as 18comic), an adult content platform. The application is built in Python using the Qt framework and supports Windows, macOS, and Linux. The README is written in Chinese and the project is described as intended for technical research purposes. The client covers the main features of the platform: logging in, searching for titles, viewing a title's detail page, downloading content, and reading images within the app. It integrates optional AI-based image upscaling tools including waifu2x and Real-ESRGAN, which can improve the quality of low-resolution images during viewing or download. Installation on each operating system is straightforward. On Windows, users download and extract a zip archive and run the included executable. On macOS, a standard dmg disk image is provided, and the app is dragged to the Applications folder. On Linux the project was tested on Deepin, a Debian-based distribution, and requires installing a Qt dependency library before running the downloaded binary. Some Windows users may need to install the Visual C++ runtime and a Vulkan runtime library separately if the image-upscaling feature fails to start. The project is open source and released under a permissive license. Because the README is brief and primarily in Chinese, some details about configuration and advanced features are not covered in the English-accessible portion of the documentation.
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