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Releases: riponcm/nextgenUp

NextGenUp 1.0.2

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@github-actions github-actions released this 25 Aug 23:58

NextGenUp 1.0.2 fixes updating on Windows. Existing installations are offered this update automatically on launch.

Fixed

Windows updates no longer fail with "Error opening file for writing". Windows cannot overwrite a running executable, and the background engine (nextgenup-server.exe) was still running when the installer tried to replace it. The app now stops the engine before installing, and the installer itself also stops any running engine before writing files, so updating works even from version 1.0.0 or 1.0.1.

If you previously clicked "Ignore" during a failed update and your app shows an old version number, simply install this update (or download the installer below and run it); it will clean up and complete normally.

Downloads

Platform File
macOS Apple Silicon (M1–M4) NextGenUp_1.0.2_aarch64.dmg
macOS Intel NextGenUp_1.0.2_x64.dmg
Windows 10/11 x64 NextGenUp_1.0.2_x64-setup.exe (or .msi)
Linux x64 NextGenUp_1.0.2_amd64.AppImage, .deb, or .rpm

macOS note: builds are not notarized with Apple. On first launch, right-click the app and choose Open. Updates installed through the built-in updater do not need this step.

NextGenUp 1.0.1

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@github-actions github-actions released this 25 Aug 23:25

NextGenUp 1.0.1 fixes the two most reported issues from 1.0.0. Existing installations are offered this update automatically on launch.

Fixed

Downloads in the desktop app now open a native Save dialog. In 1.0.0 the Download buttons could silently do nothing on desktop (the app window has no download manager). Every download now asks where to save the file: videos, images, batch item saves, and batch zip exports. In the browser version, downloads behave as regular browser downloads as before.

Basic video upscaling is much faster and more reliable on macOS. The app now uses the hardware VideoToolbox encoder on Macs (roughly 10x faster than software encoding for 4K), and long encodes no longer fail with "Connection lost" if the progress stream drops while FFmpeg is still working.

Added

  • /api/diag endpoint that reports platform, encoder, and version information to make bug reports easier.

Downloads

Platform File
macOS Apple Silicon (M1–M4) NextGenUp_1.0.1_aarch64.dmg
macOS Intel NextGenUp_1.0.1_x64.dmg
Windows 10/11 x64 NextGenUp_1.0.1_x64-setup.exe (or .msi)
Linux x64 NextGenUp_1.0.1_amd64.AppImage, .deb, or .rpm

macOS note: builds are not notarized with Apple. On first launch, right-click the app and choose Open. Updates installed through the built-in updater do not need this step.

Thanks to the users who reported both issues.

NextGenUp 1.0.0

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@github-actions github-actions released this 19 Aug 09:33

NextGenUp 1.0.0 is the first public release — a free, open-source AI image and video upscaler that runs entirely on your machine. Upscale photos to 8K and videos to 4K with Real-ESRGAN, restore faces with GFPGAN, and never upload a file to anyone's server.

Downloads

Platform File
macOS Apple Silicon (M1–M4) NextGenUp_1.0.0_aarch64.dmg
macOS Intel NextGenUp_1.0.0_x64.dmg
Windows 10/11 x64 NextGenUp_1.0.0_x64-setup.exe (or .msi)
Linux x64 NextGenUp_1.0.0_amd64.AppImage, .deb, or .rpm

Everything is bundled — the AI models, FFmpeg, and the processing engine. No Python, no dependencies, no setup.

macOS note: builds are not notarized with Apple. On first launch, right-click the app and choose Open.

Highlights

  • Image upscaling in four modes: Quick (browser AI), Quality (FFmpeg Lanczos + CAS), Enhance (same resolution, AI cleanup), and Ultra (server AI — full quality from any device)
  • Video upscaling to 4K: Basic (FFmpeg) and Pro (Real-ESRGAN frame by frame), audio preserved, portrait and landscape handled automatically
  • Enhance mode — keep the original resolution but remove blur, noise, and JPEG artifacts
  • Face restoration (GFPGAN v1.4) — every detected face aligned, restored, and blended back seamlessly
  • Batch processing with per-image progress and zip export
  • Before/after comparison slider on every image result
  • Cancellable jobs — stop any run mid-flight and start another mode instantly
  • Auto-updates — the app checks GitHub releases on launch; updates are cryptographically signed
  • Private by design — 100% local processing, no cloud, no telemetry, no account, no watermark

Notes

  • Face restoration requires the GFPGAN model (~340 MB), which is not bundled to keep installers small: drop GFPGANv1.4.onnx into the app-data models/ folder (see the README), or answer yes in setup.sh when running from source.
  • The bundled FFmpeg builds are GPL; FFmpeg retains its own license. NextGenUp itself is MIT.

A matily.org product. If NextGenUp is useful to you, starring the repository helps others find it.