Skip to main content
中文
Back to Image Tools

Experimental AI 2× Upscaler

Processing and format details+
Core processing
100% browser-local
Tool data upload
No application-server upload
Browser technology
Transformers.js + Swin2SR lightweight + Web Worker (optional ESRGAN Slim comparison)
Formats / output
PNG, JPG, WebP up to 512 × 512 → 2× PNG

LOCAL AI EXPERIMENT

Experimental AI 2× clear upscaling

Swin2SR lightweight runs the default local 2× enhancement in a dedicated worker. Input is strictly limited to 512 × 512 pixels.

Important: This improves visual appearance, not real detail. It is not lossless enlargement or image restoration; inspect text, faces and repeated textures before using it.

Experimental comparison: ESRGAN Slim

Optionally run ESRGAN Slim on the same ≤ 512 × 512 image. It uses 256px tiled inference with 10px padding, so you can compare texture, text and processing time against the default Swin2SR path.

The Swin2SR model loads only after you start. Processing stays in a dedicated worker and may be slow on lower-power devices.

SOURCE · ≤ 512 PX

Choose a small image to test

SWIN2SR · 2× RESULT

The 2× result appears here

ESRGAN SLIM EXPERIMENTAL COMPARISON

256px tiles

Run ESRGAN Slim to compare its 2× result

About this tool+

This experimental clarity-upscaling tool runs Transformers.js + Swin2SR lightweight in a dedicated worker for local 2× inference. Inputs are strictly limited to 512 × 512 pixels to avoid long GPU and memory use; an optional ESRGAN Slim 256-pixel tiled result is available for comparison. Visual enhancement is not real detail recovery, lossless enlargement or image restoration.

BEST FOR

People who want to test 2× visual enhancement on a small image and understand its device and invented-detail limits.

  • Default Swin2SR lightweight result is fixed at 2× with a strict 512 × 512 pixel input limit
  • Inference runs in a dedicated worker to keep page interaction available
  • Optionally compare ESRGAN Slim with patchSize 256 and padding 10
  • Models load only after an explicit click, with a clear warning that visual enhancement does not restore real detail
How to use+
  1. 1

    Choose a small image no larger than 512 × 512 pixels

  2. 2

    Start the local Swin2SR 2× inference in a worker

  3. 3

    Optionally run the ESRGAN Slim comparison for texture, text and processing time

  4. 4

    Inspect text, faces and repeated textures for invented detail, then download PNG if suitable and keep the source image

Frequently asked questions about Experimental AI 2× Upscaler

Frequently asked questions+

Why is the upload limited to 512 × 512 pixels?

Client-side super-resolution uses meaningful memory, GPU capacity and time. The strict limit helps avoid an unresponsive browser, especially with software WebGL or lower-power devices.

Is this lossless enlargement or image restoration?

No. It is model-driven visual enhancement and can create plausible-looking texture or detail that did not exist in the source.

Can I cancel it?

Yes. Cancel resets the local model session and restores page controls. On some devices the underlying GPU work can take a moment to release fully.

How does GlobalCoreHub handle data in Experimental AI 2× Upscaler?

GlobalCoreHub runs the core Experimental AI 2× Upscaler workflow in the current browser. Tool input is not uploaded to the GlobalCoreHub application server; any local saving described on this page stays in the current browser until its site data is cleared.

Related tools+