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QwenVoice v1.1.0

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@PowerBeef PowerBeef released this 27 Feb 04:36
· 2551 commits to main since this release

What's Changed

New Features

  • Premium glassmorphism UI overhaul — aurora background, monochromatic liquid glass aesthetic across the entire app
  • Merged Voice Design into Custom Voice tab — unified generation experience with chat-style prompt input bar
  • History clip management — context menu actions, export, sort controls
  • Audio player moved to sidebar — playback controls and generation status now live in the sidebar for a cleaner layout
  • Native HuggingFace downloads — replaced huggingface-cli with a native URLSession download engine for faster, more reliable model downloads
  • Temperature and max_tokens parameters — finer control over generation with MLX memory cleanup after each run
  • Synchronous fast-launch path — faster app startup

Bug Fixes

  • 10-bug fix sweep — concurrency fixes, error handling improvements, security hardening, and UX polish across Python backend, Swift services, and UI
  • 5 additional verified bug fixes from codebase audit + UI polish
  • Fixed generated clips not appearing in History view
  • Fixed History context menu blocked by onTapGesture
  • Fixed Preferences page background and toggle color
  • Removed opaque list background in History view

Improvements

  • English-only app (removed non-English voices for a focused experience)
  • Preferences page redesign with custom ScrollView sections
  • Full open source credits and README rewrite with complete codebase analysis
  • Refined sidebar selection styling and project layout

Installation

  1. Download QwenVoice.dmg below
  2. Open the DMG and drag Qwen Voice to Applications
  3. Run: xattr -cr "/Applications/Qwen Voice.app"
  4. Launch Qwen Voice — first launch will set up the Python environment (~2 min)
  5. Go to Models tab and download at least one model to start generating

Requires macOS 14.0+ and Apple Silicon (8 GB+ RAM).

System Requirements

  • macOS 14.0 (Sonoma) or later
  • Apple Silicon (M1/M2/M3/M4)
  • 8 GB RAM minimum
  • ~3 GB disk space for models (downloaded in-app)