DataJuggler.RealESRGAN 1.0.2

DataJuggler.RealESRGAN

This project supports Leonard — a video upscaler that:

1. Converts MP4 to an image sequence using FFmpeg
2. Upscales the images with Real-ESRGAN Vulkan (this project)
3. Reassembles the images into an MP4 using FFmpeg

This NuGet package provides a static helper class called RealESRGANHelper to upscale images using Real-ESRGAN Vulkan.

Project Leonard - A Video Upscaler will be released by Thursday, July 31, 2025. https://github.com/DataJuggler/Leonard

DataJuggler.RealESRGAN/
├── RealESRGANHelper.cs
├── Enumerations/
│ └── UpscaleModelEnum.cs
├── RealESRGAN/
│ ├── realesrgan.exe
│ └── models/
│ ├── realesrgan-x4plus
│ ├── realesrgan-x4plus-anime
│ ├── realesrgan-x4fast
│ ├── remacri
│ ├── ultrasharp
│ └── ultramix_balanced
├── Dependencies/
│ └── DataJuggler.PixelDatabase

Note: The RealESRGAN folder is automatically included and copied to the output folder when the project builds.

This Process Is Slow!

Upscaling can be extremely slow when processing large batches of images. For example, a 2-minute video at 30 frames per second will produce 3,600 images. Depending on your system, GPU, and source image resolution, each image can take anywhere from 1 to 15 seconds to upscale.

To speed up the workflow, it’s recommended to split longer videos into smaller chunks.
The DataJuggler.FFmpeg package includes a class called FFmpegHelper which provides a SplitVideo method, or you can use your preferred video editing software to manually divide the video into shorter segments.

Warning: If you split your video into parts, make sure to use the same upscale model for best results

StatusUpdate Delegate (from DataJuggler.FFmpeg)

This project supports progress notifications via the StatusUpdate delegate.
Note: This delegate is not defined in this project — it comes from the DataJuggler.FFmpeg package, which is installed in this project as a required dependency for this project.

public delegate void StatusUpdate(string sender, string data);

To use it, define a method like this in your project:

public void Callback(string senderName, string data)
{
    // sample log
    string logFile = @"c:\Temp\RealESRGANLog.txt";
    File.AppendAllText(logFile, data);
}

Pass this method as a delegate to any RealESRGAN or FFmpeg methods that supports callbacks.
If you don’t need notifications, pass null.

Usage

RealESRGANHelper

This class provides two public methods.

UpscaleImage

Upscales a single image using a specified model.

string input = @"C:\Images\Frame001.png";
string output = @"C:\Upscaled\Frame001.png";

// select your model
UpscaleModelEnum model = UpscaleModelEnum.UltraSharp;

// perform the upscale
bool result = RealESRGANHelper.UpscaleImage(input, output, model);

// Perform the Upscale with width & height
int width = 1920;
int height = 1080;

// perform the upscale
bool result = RealESRGANHelper.UpscaleImage(input, output, mode, width, height);

Note: How Resizing To A Specific Size Works

At the time of this writing (July 2025) The Vulkan upscaler models used in this project will upscale the image by four times. Meaning an 800 x 600 image will becomes 3200 x 2400.

To convert to a specific size, my NuGet package DataJuggler.PixelDatabase will resize the image to the specific height and width. Under the hood DataJuggler.PixelDatabase using System.Drawing. This can and will stretch your image.

GetModelPath

Returns the actual model name string for the given enum.

string modelName = RealESRGANHelper.GetModelPath(UpscaleModelEnum.UltraMix);
// returns "ultramix_balanced"

Enum to Model Name Mapping

When calling UpscaleImage, the enum values map to Real-ESRGAN model names as shown below:

UpscaleModelEnum → Model Name Mapping

Standard realesrgan-x4plus
Anime realesrgan-x4plus-anime
Fast realesrgan-x4fast
Remacri remacri
UltraSharp ultrasharp
UltraMix ultramix_balanced

Model Guide

RealESRGAN includes several model types, each optimized for different kinds of images. Use the guide below to choose the best model for your needs.

Standard (realesrgan-x4plus)

    The original and most balanced model. Best for general photos, videos, and realistic content.

Anime (realesrgan-x4plus-anime)

    Designed for upscaling anime-style artwork, line art, and 2D illustrations with flat colors and 
    hard edges.

Fast (realesrgan-x4fast)

    A lighter model for faster performance. Lower quality than Standard, but good for quick previews
    or processing large batches with lower resource requirements.

Remacri (remacri)

    Produces sharp, contrasty output with less blurring. Great for enhancing detail in already sharp 
    images or text-heavy graphics.

UltraSharp (ultrasharp)

    Prioritizes edge definition and texture clarity. Useful for upscaling small, blurry images where 
    detail matters most.

UltraMix (ultramix_balanced)

    A hybrid model that balances sharpness, smoothness, and noise reduction. Good for real-world 
    photography and complex scenes with mixed content.

Change Log

7.29.2025: Version 1.0.0

Initial Release

7.29.2025: Version 1.0.1:

I added two optional parameters to the UpscaleImage method for width & height. If you leave this parameters blank the image will be upscaled to 4 x the original size.

Credits

Real-ESRGAN Vulkan by Xintao
https://github.com/xinntao/Real-ESRGAN

Questions or Feedback

Create an issue on GitHub:
https://github.com/DataJuggler/DataJuggler.RealESRGAN

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