Does my image get uploaded anywhere?

No. The Swin2SR model runs entirely in your browser with WebGPU or WebAssembly. The image never leaves your device.

How is this better than just resizing?

Plain resizing stretches existing pixels and looks soft or blocky. The AI model reconstructs plausible detail and edges, so the result stays sharp at the larger size.

Is there a size limit?

Very large images are scaled down to about 1024px on the longest side before upscaling, to keep memory in check — super-resolution is meant for enlarging smaller images.

Why is the first run slow?

The model downloads once on first use and is cached by your browser. Upscaling itself is compute-heavy, so larger images and 4× take longer than 2×.

Image Upscaler

Runs a Swin2SR super-resolution model in your browser to enlarge the image 2× or 4× with detail plain scaling can't recover.

What this does

Image Upscaler runs the Swin2SR super-resolution model directly in your browser through Transformers.js — your image is never uploaded to a server.

The first time you click Upscale, the model downloads from the Hugging Face CDN and is cached (2× and 4× use separate models). Upscaling runs in a background worker, so the page stays responsive. Links to the model and library are below.

How it works

1Drop an image.
2Pick 2× or 4×, then click Upscale. The first run downloads the super-resolution model once and caches it.
3Download the enlarged PNG.

Built with open source

Transformers.js — Hugging Face's library for running ONNX machine-learning models in the browser, on WebGPU or WebAssembly. The model weights download from the Hugging Face CDN on first use and are cached. · Apache-2.0
Swin2SR — Super-resolution transformer that enlarges images while reconstructing detail. · Apache-2.0

Frequently asked questions

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