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
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#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
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
OnnxStack.ImageUpscaler
Upscale Models
Below is a small list of known/tested upscale models
- https://huggingface.co/wuminghao/swinir
- https://huggingface.co/rocca/swin-ir-onnx
- https://huggingface.co/Xenova/swin2SR-classical-sr-x2-64
- https://huggingface.co/Xenova/swin2SR-classical-sr-x4-64
- https://huggingface.co/Neus/GFPGANv1.4
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 | Versions 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.
-
net8.0
- OnnxStack.Core (>= 0.39.0)
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 |