This is the Linux app named Real-ESRGAN ncnn Vulkan whose latest release can be downloaded as Releasev0.2.0sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Real-ESRGAN ncnn Vulkan with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
SCREENSHOTS:
Real-ESRGAN ncnn Vulkan
DESCRIPTION:
Real-ESRGAN ncnn Vulkan is an optimized, cross-platform implementation of Real-ESRGAN using the ncnn neural network inference engine and Vulkan for hardware acceleration. Unlike the standard PyTorch-based Real-ESRGAN code, this variant is written in C/C++ and designed to run efficiently on many platforms (including Windows, Linux, and possibly Android) without requiring heavy frameworks like CUDA or Python. It provides command-line tools for upscaling images with selected models, allowing users to specify input/output paths, scaling factors, tile sizes, and model names from a compressed model set, which is particularly helpful for larger images or automated workflows. The Vulkan backend enables fast execution on GPUs from different vendors (Intel/AMD/Nvidia) with broad support, making it suitable for non-Python environments, production systems, or performance-constrained setups.
Features
- High-performance, Vulkan-accelerated implementation of Real-ESRGAN
- Uses ncnn inference engine — no Python or TensorFlow/PyTorch support needed
- Cross-platform C/C++ tool executable for common OSes
- Command-line control of scaling, model selection, and tiling options
- Supports anime and general image models
- Ideal for integration into apps, services, or pipelines requiring fast runtime
Programming Language
C
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/real-esrgan-ncnn-vulkan.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.