AI Image Upscaler

AI Image Upscaler

Enlarges photos 2x, 4x or 8x with an AI upscaler and shows the result beside the original at pixel level. Free demo for logged-in Hugging Face users, with a REST API from the same maker.

Made by MegaPotatoAI on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.

About

What it is: This Space is a static web page for the MegaPotato AI upscaler. It enlarges a PNG, JPEG or WebP image by 2x, 4x or 8x with super-resolution, then lets you compare the result with the original. The model itself runs on the maker's own service, not in your browser.

Who it suits: It suits anyone with small or heavily compressed pictures who wants to see how well an upscaler handles faces, lettering and textures.

Industry | Who uses it | How they use it | Example
Photography | Photographers | Enlarge small or compressed photos | Upscale a tiny JPEG by 8x and check the detail
Archives | Archivists | Enlarge old scanned pictures | Open the 1914 team photo example
Design | Designers | Judge how an upscaler treats text and textures | Drag the divider across a result
Software | Developers | Call the upscaler from their own code | Submit an image through the REST API

Skip it if you need to run the model offline, since the weights are not published.

Where to use it:

• A web browser, on the Space's page at Hugging Face
• A local copy of the page files, which still sends uploads to the maker's service
• Your own code, through the maker's REST API
• The maker's ComfyUI node

Use case | Who | What they get back
Enlarge one photo | Photographers | A 2x, 4x or 8x version you can compare with the original
Try it with no queue | Newcomers | Precomputed examples that anyone can open
Automate upscaling | Developers | Jobs submitted and collected through the API

How to set it up: The online page needs a browser and, for your own photos, a Hugging Face login. A local copy of the page needs Python to fetch the files.

• A web browser
• A Hugging Face login, to upscale your own photos
• Python and pip, only to fetch a local copy
• For the API, a key from an account on the maker's site, kept in an environment variable named MEGAPOTATO_API_KEY

1. Install the Hugging Face hub library.
2. Download the Space's files into a folder named AI-Image-Upscaler.
3. Move into that folder.
4. Load index.html in a web browser.

pip install -U huggingface_hub
hf download MegaPotatoAI/AI-Image-Upscaler --repo-type space --local-dir AI-Image-Upscaler
cd AI-Image-Upscaler

How to use it: Work through the page in order.

1. Add a picture by uploading it or pasting it. PNG, JPEG and WebP files all work.
2. Pick 2x, 4x or 8x and press Upscale.
3. Slide the divider between the before and after views to judge how the result differs from your original.
4. Zoom in to 100% or 200%, or use the Detail button to go to the part with the most detail.
5. To keep the full-size PNG, make a free account on the maker's own site.

For code, the API has three calls.

Tool | What it does
POST /v1/quote | Prices a job before you submit it
POST /v1/upscale | Submits an image for upscaling
GET /v1/jobs/{id} | Checks a job and collects its result

Example: You open the precomputed snowy owl example, a tiny 240 by 160 JPEG enlarged 8x, and drag the divider back and forth. You see the original and the upscaled version side by side. No queue is involved.

For newcomers and experts: Open one of the examples first. They work without a login and show what each scale does before you spend your daily upscales.

The page is static HTML. Your upload goes to a Cloudflare service. That service keeps the API key, enforces the demo limits and forwards the image to the maker's API. The proprietary model runs on the maker's GPUs. API calls carry a bearer key, and an Idempotency-Key header means a retry with the same key is not charged twice. You poll the job until it completes or fails. The README also cites a blind benchmark of 18 upscalers that the maker published. It says this is its own evaluation and that it is one of the products compared.

You upload an image
A Cloudflare service checks the demo limits
The maker's API upscales it on its GPUs
You compare the result with the original

Good to know:

• Limits: The free demo allows 2 upscales a day, counted per network address over a rolling 24 hours. Pictures can be as large as 16,400 px on a side. Anyone can open the examples.
• License: The demo code is MIT. Access to the model and API follows the maker's service terms. The example images are public domain.
• Cost to run: The demo is free with a Hugging Face login. Downloads and the API need an account on the maker's site, and new accounts get free chips. A quote call prices an API job.
• Data it reaches: Your uploaded images travel to the maker's service. An automatic check runs before processing, and an image can be turned away. The original is removed once upscaling is done, and the result about an hour after you uploaded it.
• Not for: Running the model on your own machine, since the weights are not published.

On Hugging Face, 13 November 2026

• Likes: 21
• Built with: static
• License: mit

Links

• Space: https://huggingface.co/spaces/MegaPotatoAI/AI-Image-Upscaler
• Files: https://huggingface.co/spaces/MegaPotatoAI/AI-Image-Upscaler/tree/main

Try it

Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.