4K Upscaler

4K Upscaler

Enlarges images to 4K, 8K or 16K with an AI upscaler, shows the exact output size first, and lets you compare a plain resize with the AI result. Free demo for logged-in Hugging Face users.

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: 4K Upscaler is a static web page that enlarges an image to 4K, 8K or 16K with the MegaPotato AI model. It shows the exact output size before you run. Afterwards you can set a simple resize beside the AI result, both at full pixel size. The model runs on the maker's own service.

Who it suits: It suits anyone with small or compressed pictures who wants to see whether an upscale holds up at full size.

Industry | Who uses it | How they use it | Example
Photography | Photographers | Enlarge small pictures for big screens or prints | Upscale a compressed JPEG to 8K
Design | Designers | Judge whether an upscale survives close inspection | Compare the resize and AI panels at 100%
Media | Editors | Prepare still images for high resolution projects | Check the output size before running
Software | Developers | Call the same model from code through the maker's REST API | Read the API notes in the README

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

Use case | Who | What they get back
Upscale one image | Photographers | A 4K, 8K or 16K version with its size shown up front
Compare against a plain resize | Designers | Two panels at 100% to inspect pixel by pixel
Try it with no login | Newcomers | Real example results that anyone can open

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

• A web browser
• A Hugging Face login, to upscale your own images
• Python and pip, only to fetch a local copy

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

pip install -U huggingface_hub
hf download MegaPotatoAI/4K-Upscaler --repo-type space --local-dir 4K-Upscaler
cd 4K-Upscaler

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

1. Add an image by choosing it, dropping it or pasting it. PNG, JPEG and WebP work.
2. Select 4K, 8K or 16K. The page sets the scale to 2x, 4x or 8x and shows the output size.
3. Press Upscale.
4. Drag the frame across the overview image to choose which area the two 100% panels compare.
5. For a full-size download, make a free account on the maker's own site and upload the image there.

Example: You open one of the real 8x examples, a small compressed picture. You drag the frame across the overview and study the plain resize beside the AI result in the two 100% panels.

For newcomers and experts: Open an example first. Examples need no login and show what each target size gives before you spend a daily run on your own image.

The page is static HTML. Uploads go to a Cloudflare service that holds 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. The README also points to a blind benchmark of 18 upscalers published by the maker. It notes that this is its own evaluation and that its product is one of those compared.

You add an image and pick 4K, 8K or 16K
The page shows the output size
A Cloudflare service checks the demo limits
The maker's model upscales it on its GPUs
You compare resize and AI at 100%

Good to know:

• Limits: The free demo gives you 2 runs a day. The count follows your network address across a rolling 24 hours, at full size.
• Examples: The demo inputs are 504 by 336 crops saved as compressed JPEGs, and the results are real 8x runs.
• License: The demo code is MIT. Access to the model and API follows the maker's service terms.
• Cost to run: The demo is free with a Hugging Face login. Downloads need an account on the maker's site, and new accounts get free chips.
• Data it reaches: Your uploads go to the maker's service. Each image is checked automatically before processing, and some may be refused. The original is removed when the run ends, and the result about an hour later.
• Not for: Running the model on your own machine, since the weights are not published.

On Hugging Face, 13 November 2026

• Likes: 11
• Built with: static
• License: mit

Links

• Space: https://huggingface.co/spaces/MegaPotatoAI/4K-Upscaler
• Files: https://huggingface.co/spaces/MegaPotatoAI/4K-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.