Real-ESRGAN-ncnn-vulkan
Real-ESRGAN-ncnn-vulkan is a command-line image upscaler based on ncnn and Vulkan for JPG, PNG and WebP files or directories.
What it is for
Real-ESRGAN-ncnn-vulkan processes individual images or directories from a terminal and can produce 2x, 3x or 4x enlarged results. Different models emphasize general photographs, animation or other visual material. The portable package is suited to repeatable commands and batch jobs, while a graphical application may be easier for occasional drag-and-drop work.
Drivers and resource limits
The program relies on a working Vulkan driver rather than a Python environment or a CUDA toolkit for normal use. Model choice, tile size, worker count and image dimensions affect memory use and speed. Start with a small image and conservative settings before processing a large directory.
Result boundaries
Super-resolution infers missing detail; it does not recover facts that were absent from the source. Faces, text, line art and compression artifacts can be reconstructed incorrectly. Keep the original image, record the model and scale, and treat generated detail as visual enhancement rather than evidence.
Maintenance note
This page was reviewed on 2026-08-23 against the 0.2.0 portable package metadata, command workflow, model notes and MIT license. Driver compatibility should be checked on the target machine after extraction.
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Real-ESRGAN-ncnn-vulkan portable setup and first upscale
Extract the 0.2.0 package, verify Vulkan support and process one copied image before starting a batch job.
Before you start
- Choose the package for Windows, macOS or Ubuntu and confirm that the graphics driver exposes Vulkan.
- Copy a non-critical JPG, PNG or WebP image into a separate test directory.
- Keep paths quoted when they contain spaces or non-ASCII characters, and reserve a different output directory.
Installation steps
- 01
Extract the complete package
Preserve the main executable, model directory and dynamic libraries in their relative positions. Copying only the executable can break model loading.
- 02
Open a terminal in the extracted directory
Run the help option first and confirm that the program starts and lists available arguments before processing an image.
- 03
Prepare input and output folders
Put the copied test image in an input folder and create an empty output folder so the original file cannot be overwritten accidentally.
Quick start
- 01
Run a conservative upscale
Specify the input, output and 2x scale for one small image. This verifies the driver, model and output format with minimal resource use.
- 02
Compare models on one crop
Test the model suited to the material on the same small crop, then compare edges, textures and text before selecting a batch model.
- 03
Review dimensions and file size
Inspect the output at full size, confirm transparency and dimensions, and record the model, scale and tile settings for reproducibility.
Usage tips
- Reduce tile size when large images exceed available memory; more workers can increase both speed and memory pressure.
- Validate transparent PNG and WebP inputs on a small sample before processing the full directory.
- Never use reconstructed text or faces as a factual replacement for the source image.
Troubleshooting and uninstall
Why does the program report a Vulkan error?
Update the graphics driver and confirm Vulkan support, then restart the test. Remote desktop, virtual machines and older integrated graphics may expose incomplete support.
Why is the output black or does the process exit?
Try a smaller image and the default model, then reduce tile size and worker count. Keep the original and test only a small batch while isolating the driver or model issue.
- Preserve outputs and parametersMove final images out of the program directory and save the model, scale and tile settings used for the result.
- Remove the portable directoryThere is no system installer to remove; after confirming that models and outputs are no longer needed, delete the extracted directory.
Frequently asked questions
Does Real-ESRGAN-ncnn-vulkan require Python or CUDA?
The portable ncnn/Vulkan package normally runs without a Python project environment or CUDA toolkit, but it still needs a compatible Vulkan driver.
Why can an enlarged face or word look wrong?
The model predicts missing detail and can invent texture. Compare several models and keep the original whenever visual accuracy matters.
Can a whole directory be processed?
Yes. Start with one copied image, confirm the output and then use a separate output directory for the batch.
What should be recorded for repeatable results?
Save the model name, scale, tile size, worker count, input dimensions and processing date alongside the generated files.