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Real-time AI upscaler for any Linux window using CuNNy

Project description

Real‑Time Upscaler for Linux

PyPI version Python versions License: GPLv3

A real‑time AI upscaler for any application window on GNU/Linux. It uses CuNNy neural networks to perform 2× (or 4×) upscaling, then scales the result to full screen while preserving aspect ratio. Mouse clicks and motion are automatically forwarded to the original window.

Now with full XWayland support – works seamlessly under Wayland compositors!

Results at 400% magnification

Based on

Based on RealTimeSuperResolutionScreenUpscalerforLinux by L65536 (specifically its v07linux), with the following differences:

  • Full‑screen scaling – The upscaled image now fills the monitor, applying a second scaling layer while preserving aspect ratio.
  • Click/motion forwarding – Mouse clicks and motion are forwarded to the original window with proper coordinate transformation. This can be deactivated with the -d option.
  • Support all CuNNy NVL models – All NVL models have been translated to work in Compushady.

Features

  • AI‑Powered Upscaling – Uses the CuNNy (Convolutional upscaling Neural Network) models, trained specifically for high‑quality 2× upscaling of visual novels and illustrations.
  • Complete Model Selection – Choose from 9 variants, offering a range of quality/performance trade‑offs:
    • 8x32 – Highest quality, slowest.
    • 4x32
    • 4x24
    • 4x16
    • 4x12
    • 3x12
    • fast – Default. Recommended for slow machines.
    • faster
    • veryfast – Fastest option, lowest quality.
  • Attach to Any Window – Either grab the currently active window, select from visible windows or launch a new program and capture its window automatically.
  • Full‑Screen Output – The upscaled image is displayed in a transparent overlay that covers your entire monitor, scaled to fill the screen while preserving aspect ratio.
  • Input Forwarding – Click, move, and drag on the upscaled image as if you were interacting directly with the original window.
  • Hardware Accelerated – GPU compute via Compushady (Vulkan) works on NVIDIA, AMD, and Intel GPUs.
  • XWayland Compatible – Runs under Wayland compositors by automatically forcing X11 platform for Qt and disabling Wayland Vulkan extensions.
  • Low Overhead – Minimal CPU/GPU usage; the final scaling pass uses hardware Lanczos2 filtering.

Requirements

  • GNU/Linux (X11 or Wayland with XWayland)
  • Vulkan-capable GPU from any vendor (NVIDIA, AMD, Intel)
  • Vulkan drivers (libvulkan-dev on Debian/Ubuntu)
  • X11 development libraries (libx11-dev)
  • Python 3.8 or newer

Installation

1. System dependencies

Debian / Ubuntu / Linux Mint

sudo apt update
sudo apt install libvulkan-dev libx11-dev

Fedora / RHEL / CentOS (with EPEL)

sudo dnf install vulkan-loader-devel libX11-devel

Arch Linux

sudo pacman -S vulkan-devel libx11

openSUSE

sudo zypper install vulkan-devel libX11-devel

Alpine Linux

sudo apk add vulkan-headers libx11-dev

2. Python package

Install with pipx (recommended)

pipx install linux-rt-upscaler

Or with regular pip (inside a virtual environment is advised)

pip install linux-rt-upscaler

Or install from source

# Clone the repository
git clone https://github.com/baronsmv/linux-rt-upscaler.git
cd linux-rt-upscaler

# Install Python dependencies
pip install -r requirements.txt

# Install the package in development mode
pip install -e .

Usage

After installation, the upscale command will be available globally:

# Upscale the currently active window
upscale

# Interactively select from visible windows at startup
upscale -s

# Run a command and upscale its window
upscale <command>

# Choose a specific model (examples)
upscale -m 8x32      # Highest quality, slowest
upscale -m 4x24      # A balanced option
upscale -m veryfast  # Maximum performance

# Disable mouse‑click forwarding (also enables dimming/click‑through)
upscale -d

# Perform two 2× passes (total 4×) (Experimental)
upscale -2

# Show help and other options
upscale -h

Controls

  • Exit: Press Ctrl+C in the terminal where the upscaler is running.
  • Dimming/Click‑through (only when -d is used):
    • The overlay becomes semi‑transparent (20% opacity) when the mouse leaves the source window.
    • Clicks then pass through to whatever window is underneath (e.g., your desktop or other applications).

How It Works

  1. Window Selection – Uses X11 to find the target window by PID or WM_CLASS.
  2. Capture – Grabs the window's pixels using a fast custom C library.
  3. AI Upscaling – CuNNy compute shaders (written in HLSL, compiled via Compushady) produce a 2× (or 4×) larger image .
  4. Aspect‑Preserving Scaling – A lightweight Lanczos2 compute shader scales the upscaled image to fill the monitor, adding black bars to maintain the original aspect ratio.
  5. Display – The result is rendered in a transparent overlay window that bypasses the window manager (so it always stays on top).
  6. Input Forwarding – Mouse events are transformed using the scaling ratios and sent to the original window via XSendEvent.

Future Plans

  • Standalone GUI application – Create a windowed app interface for easier management.
  • Addition of more models – Parse and include other models and shaders.
  • Native Wayland support – Support pure Wayland windows without XWayland.
  • Option to force screen aspect ratio – Let users choose between letterboxing or stretching.

Motivation

While real-time upscaling tools like Magpie and Lossless Scaling remain Windows-exclusive, projects such as lsfg-vk are successfully bringing their frame generation capabilities to Linux.

This project tackles the other half of the equation: AI-powered upscaling to deliver a native solution Linux has been missing, a fullscreen Gamescope-like experience that applies intelligent upscaling (similar to Anime4K) to any application.

Acknowledgments

  • L65536 – For the original RealTimeSuperResolutionScreenUpscalerforLinux project, which provided the foundational scripts and CuNNy integration.
  • funnyplanter – For CuNNy, the neural network upscaling models, especially the Magpie NVL variants trained for visual novel content.
  • Compushady – Python library for GPU compute (Vulkan backend).
  • PySide6 – Qt bindings used for the overlay window.
  • python‑xlib – X11 client library for window management and input forwarding.
  • pyewmh – Query and control of window manager.
  • psutil – Library for retrieving information on running processes.

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