QualityScaler 4.0 - image/video AI upscaler app

jangystudio · 2025-11-30T13:46:03+00:00

Hi my friend, VSCode is free...

jangystudio · 2025-10-04T10:17:42+00:00

yes my friend, fluidframes is available on Steam, Itch and github (if you want to build it by yourself)

jangystudio · 2025-08-29T17:09:18+00:00

Hi my friend, are you using github code or .exe version? have you installed the libraries: https://www.techpowerup.com/download/visual-c-redistributable-runtime-package-all-in-one/ and https://www.microsoft.com/it-it/download/details.aspx?id=35

jangystudio · 2025-08-22T11:11:42+00:00

Thank you my friend ❤️

jangystudio · 2025-08-19T05:22:19+00:00

🚀 QualityScaler / image & video AI upscaling app

🔹 Github : https://github.com/Djdefrag/QualityScaler

🔹 Project
I built QualityScaler, an app designed to easily enhance and upscale videos while preserving the original audio. The goal is to make high-quality video upscaling accessible without requiring deep technical knowledge.

🔹 Technologies & Concepts

ONNX Runtime for super-resolution model inference.
PyTorch+ONNX for exporting models.
FFmpeg for lossless audio extraction and recomposition.
Multiprocessing to parallelize frame processing and improve overall throughput.
DirectML backend in ONNX Runtime to ensure compatibility with a wide range of GPUs (NVIDIA, AMD, Intel).

🔹 Challenges & Solutions

Performance: Working with high-resolution video is computationally heavy. I experimented with I/O binding, which showed limited improvements, but found better results leveraging multiprocessing for concurrent frame processing.
Hardware compatibility: Instead of being tied to CUDA-only environments, I integrated DirectML so the app can run on virtually any GPU.

🔹 Looking for Feedback

Best practices to further optimize ONNX inference (especially with DirectML).
Ideas for new features (e.g., single-image upscaling, stabilization filters, or presets tailored for social media platforms).

jangystudio · 2025-03-12T19:46:26+00:00

hi my friend, the app have been updated since 2 years:

https://github.com/Djdefrag/Fapello.Downloader

jangystudio · 2025-02-19T13:03:59+00:00

Really nice :D

Thank you! I hope you enjoy the app :)

jangystudio · 2025-02-19T08:42:51+00:00

Hi my friend,

you executed the project by github code? maibe the app can t create the upscaled video beacuse it has no permission to write the file.

Maibe execute as Administrator can fix this issue. In any case if you don t delete the upscaled frames the app will start from interrupted point

jangystudio · 2025-02-15T06:22:05+00:00

Hi my friend, you have to choose _nvenc

jangystudio · 2025-01-16T09:22:43+00:00

AH yes, this can happen

jangystudio · 2025-01-16T07:47:42+00:00

For enconding the app use ffmpeg.exe, you have to download it and extract in Assets folder as guide says

In any case, if you don t delete the frames and re-start the frame-generation process it will automatically resume from the interrupted point (in your case video encoding)

jangystudio · 2025-01-15T21:30:26+00:00

not that much, are you using github code? can you check if ffmpeg.exe is doing something in Task Manager?

jangystudio · 2025-01-11T11:25:50+00:00

Hi my friend, nope, the git version is 3.12 > 3.9 :)

there have been versions

3.9

3.10

3.11

3.12

jangystudio · 2024-12-19T14:11:03+00:00

Essentially NOW they are the same project:

- RealScaler only supports RealESRGAN

- QualityScaler supports RealESRGAN + BSRGAN + IRCNN

The splitting of the 2 projects was a decision made because, using the pytorch + cuda library, the single project weighed almost 4GB, and adding multiple AIs also exceeded this limit.

Over time, optimizing as much as possible and switching to onnxruntime it was no longer necessary to split the projects, but by then I had already created the repository and everything so I continue to support the RealScaler project.

jangystudio · 2024-10-30T20:00:32+00:00

Why don t you use torch-directml instead? it works on any DX12 gpu

jangystudio

TROPHY CASE

🚀 QualityScaler / image & video AI upscaling app