OnnxStack.ImageUpscaler 0.39.0

Prefix Reserved
dotnet add package OnnxStack.ImageUpscaler --version 0.39.0                
NuGet\Install-Package OnnxStack.ImageUpscaler -Version 0.39.0                
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="OnnxStack.ImageUpscaler" Version="0.39.0" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add OnnxStack.ImageUpscaler --version 0.39.0                
#r "nuget: OnnxStack.ImageUpscaler, 0.39.0"                
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install OnnxStack.ImageUpscaler as a Cake Addin
#addin nuget:?package=OnnxStack.ImageUpscaler&version=0.39.0

// Install OnnxStack.ImageUpscaler as a Cake Tool
#tool nuget:?package=OnnxStack.ImageUpscaler&version=0.39.0                

OnnxStack.ImageUpscaler

Upscale Models

Below is a small list of known/tested upscale models

Image Example

// Load Input Image
var inputImage = await OnnxImage.FromFileAsync("Input.png");

// Create Pipeline
var pipeline = ImageUpscalePipeline.CreatePipeline("SwinIR-M_x4_GAN.onnx", scaleFactor: 4);

// Run pipeline
var result = await pipeline.RunAsync(inputImage);

// Save Image File
await result.SaveAsync("Result.png");

// Unload
await pipeline.UnloadAsync();

Video Example

// Load Input Video
var inputVideo = await OnnxVideo.FromFileAsync("Input.mp4");

// Create Pipeline
var pipeline = ImageUpscalePipeline.CreatePipeline("SwinIR-M_x4_GAN.onnx", scaleFactor: 4);

// Run pipeline
var result = await pipeline.RunAsync(inputVideo);

// Save Video File
await result.SaveAsync("Result.mp4");

// Unload
await pipeline.UnloadAsync();

Video Stream Example

// Read Video Info
var videoFile = "Input.mp4";
var videoInfo = await VideoHelper.ReadVideoInfoAsync(videoFile);

// Create Video Stream
var videoStream = VideoHelper.ReadVideoStreamAsync(videoFile, videoInfo.FrameRate);

// Create pipeline
var pipeline = ImageUpscalePipeline.CreatePipeline("SwinIR-M_x4_GAN.onnx", scaleFactor: 4);

// Create Pipeline Stream
var pipelineStream = pipeline.RunAsync(videoStream);

// Write Video Stream
await VideoHelper.WriteVideoStreamAsync(videoInfo, pipelineStream, "Result.mp4");

//Unload
await pipeline.UnloadAsync();
Product Compatible and additional computed target framework versions.
.NET net8.0 is compatible.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories (1)

Showing the top 1 popular GitHub repositories that depend on OnnxStack.ImageUpscaler:

Repository Stars
TensorStack-AI/OnnxStack
C# Stable Diffusion using ONNX Runtime
Version Downloads Last updated
0.39.0 251 6/12/2024
0.31.0 213 4/25/2024
0.27.0 130 3/31/2024
0.25.0 122 3/14/2024
0.23.0 157 2/29/2024
0.22.0 149 2/23/2024
0.21.0 185 2/15/2024
0.19.0 174 2/1/2024
0.17.0 151 1/19/2024
0.16.0 137 1/11/2024
0.15.0 163 1/5/2024
0.14.0 215 12/27/2023
0.13.0 168 12/22/2023