We have hosted the application real esrgan ncnn vulkan in order to run this application in our online workstations with Wine or directly.


Quick description about real esrgan ncnn vulkan:

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:
Algorithms

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