VLiva app icon Work in Progress

VLiva

VTube for Linux

Linux-native app for running Live2D VTuber models in a smooth and modern experience.

Powered by Live2D Cubism SDK

VLiva app screenshot
Live Preview

VTube for Linux

About VLiva

VLiva is a Linux-native VTubing application for running Live2D models with a workflow designed for creators who prefer staying on Linux from setup to stream.

The project began after repeated friction with existing options: compatibility layers, unstable behavior, and setup overhead that interrupted production work. VLiva focuses on removing that friction with a direct native path.

Features

Feature Overview

Two build tracks with different scope: Release for daily production and Demo for quick evaluation.

Release Track

Main build for production workflows

Full runtime and broader integration scope for creators who need stable day-to-day use.

  • Core model runtime is fully available

    Model support, general parameter tracking, and physics are part of the default release workflow.

  • Advanced extension scope is included

    Custom emotes and the C-header library are present for deeper integration and custom behavior.

  • Production usability is prioritized

    Settings persist across relaunch, and overall UI/UX is tuned to feel polished for day-to-day use.

  • Expanded tracking backend targets

    The release branch is aligned with NVIDIA AR SDK, iFacialMocap, and VSeeFace integration paths.

  • Broader language support

    Release currently targets English, Japanese, and Thai.

  • Planned and experimental notes

    Audio lip-sync remains planned and subject to change, while experimental features may be removed in stable releases.

Demo Track

Focused build for trying core VTubing flow

Lightweight scope for testing compatibility and baseline quality before moving to release.

  • Core VTubing path remains testable

    Model support, general parameter tracking, and physics are still available in the demo build.

  • Intentional scope limits

    Custom emotes and the C-header library are excluded from demo scope.

  • Lightweight session behavior

    Settings are session-only, and the interface is intentionally basic but usable.

  • Demo tracking backend set

    The demo branch focuses on MediaPipe and OpenCV.

  • Language scope

    English only in demo.

  • Planned and experimental notes

    Audio lip-sync remains planned/experimental, and experimental features stay available in demo scope.

Demo / Preview

Live Preview

Live preview clips from current Linux test builds

Support

FAQ

Common questions from the current project state.

Quick FAQ

Is VLiva open source?

No. VLiva is currently a closed-source project and is not distributed under an open-source license.

Is this intended to replace VTube Studio?

No. VLiva is positioned as a native Linux alternative, not a replacement for existing tools.

Will VBridger compatibility be supported?

Compatibility is under evaluation because it could simplify migration for current Linux VTuber workflows.

Is Inochi2D related to this project?

Inochi2D has useful engineering references, but VLiva focuses on Live2D support and has different goals.

Project

Contact & Credits

Main contact channel and contributors behind the current VLiva build.

Contact

Use email for business inquiries and GitHub Issues for bug reports.

Credits

Credit Test Live2D Models

Software

  • OpenCV Computer vision library used in tracking pipeline.
  • MediaPipe Real-time ML framework used for demo tracking features.