waifu2x-ncnn-vulkan-GUI-Edition-Reloaded
A Windows GUI for upscaling photos and videos using Vulkan-accelerated super-resolution neural networks.
Upscale images and video frames with custom noise reduction levels using your dedicated NVIDIA or AMD GPU.
This tool provides a graphical user interface for the waifu2x-ncnn-vulkan engine. If you need to enlarge photos or video clips without running command-line scripts, it gives you direct visual control over AI models and noise reduction.
What it is
It runs super-resolution algorithms like CUnet and Real-CUGAN locally on Windows PCs via Vulkan GPU acceleration. For video processing, it uses FFmpeg to extract frames, upscales each frame with the selected neural network, and reassembles them into an output file.
Who it's for
It suits photographers and videographers on 64-bit Windows who want a straightforward desktop app for AI image enlargement. It does not suit macOS or Linux users, nor those relying strictly on integrated graphics without a dedicated GPU.
Key features
Graphical Desktop UI
Provides an accessible control interface over command-line waifu2x and Real-CUGAN neural network binaries.
Video Frame Upscaling
Extracts video frames via FFmpeg, upscales each image individually, and re-encodes the final video file.
Noise Reduction Tuning
Lets you select noise removal levels to balance image clarity against fine detail retention.
Vulkan GPU Hardware Acceleration
Runs processing tasks directly through dedicated NVIDIA and AMD graphics hardware for faster rendering.
Up and running in 3 steps
Our honest verdict
What's great
- Standalone release builds run directly without requiring a separate .NET runtime installation.
- Processes both static image files and full video frame sequences.
- Includes localized interface support for English, Japanese, and Chinese.
- Uses Vulkan API to support both NVIDIA GeForce and AMD Radeon graphics cards.
Where it falls short
- Heavy video upscaling jobs generate high GPU load and can take significant processing time.
- Requires a 64-bit Windows OS unless you manually compile the C++ source code for other targets.
- Integrated graphics processing is extremely slow compared to dedicated graphics cards.
- TTA mode increases render times substantially without producing easily visible quality improvements.
Pricing & license
Free and open-source under the MIT license. The only operational cost is the local computer hardware and electricity required to run GPU-intensive upscaling jobs.
Open remote AI-training roles
870 open remote AI-training roles, updated November 14, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.
Alternatives
These reviewed AI tools do the same job instantly — from our scored directory.
Use it, or have us set it up
FAQ
Do I need to install .NET before running the app?
No, the published release packages are standalone builds that do not require installing external .NET runtimes.
Can I run this tool on an integrated graphics chip?
It will run on integrated graphics, but rendering will take an extremely long time compared to using a dedicated GPU.
