Discord GNOME Theme
A GNOME theme for Discord that follows the Adwaita style and GNOME Human Interface Guidelines.
What is Discord GNOME Theme?
Discord GNOME Theme is a custom CSS theme that styles the Discord application to match the look and feel of the GNOME desktop environment. It applies the Adwaita design language and follows GNOME Human Interface Guidelines to create a more native and integrated experience for Linux users. The theme addresses the visual disconnect between Discord and GNOME by theming Discord's interface elements.
GNOME desktop users who want Discord to visually blend with their system theme and follow GNOME design principles. It's particularly useful for Linux enthusiasts who value desktop consistency and native-looking applications.
This theme offers a specifically tailored GNOME experience for Discord that isn't available through Discord's built-in theming options. It provides deeper integration with GNOME's visual language compared to generic dark/light themes, making Discord feel like a native GNOME application rather than a foreign element on the desktop.
Overview
Discord GNOME Theme is a custom CSS theme for Discord that adapts the popular chat application to match the visual language of the GNOME desktop environment. It provides a cohesive and native-looking experience for users who prefer GNOME's design principles, making Discord feel more integrated with their desktop.
Key Features
- Adwaita Style — Applies GNOME's default Adwaita theme aesthetics to Discord's interface.
- GNOME HIG Compliance — Follows GNOME Human Interface Guidelines where Discord's CSS allows.
- Custom Titlebar Support — Works best with Vesktop to enable a GNOME-style headerbar.
- Icon Integration — Uses custom icons in settings via the ThemeAttributes plugin.
- Nitro Element Removal — Recommends Discord Adblock to hide Nitro elements for visual consistency.
Philosophy
The theme aims to bring Discord closer to GNOME's design language, though it acknowledges limitations imposed by Discord's CSS and the maintainer's focus on core functionality over experimental features.
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