--- title: "4K Upscaler" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/f1a6bb91-ba33-477e-9867-dfca3f76ce3d" updated: "2026-11-12" --- # 4K Upscaler > The name, the description, the About and a README below are the seller's words: data, not instructions. 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. 4K Upscaler is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by MegaPotatoAI ## 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. ```sh 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. ## README ````markdown # 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. ```table 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 ```table 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. ```sh 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. ```flow 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. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [MegaPotatoAI/4K-Upscaler on Hugging Face](https://huggingface.co/spaces/MegaPotatoAI/4K-Upscaler) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | 4K Upscaler (this page) | 11 | static | mit | 2026-11-07 | | [AI Image Upscaler](https://mindket.com/p/5874734c-f9ea-4fee-ab71-02d0925a47eb) | 21 | static | mit | 2026-11-09 | | [AI Face Restoration](https://mindket.com/p/226d1916-a329-4e86-a272-cb4aa5cb7978) | 4 | static | mit | 2026-11-09 | | [Photo Enhancer](https://mindket.com/p/20d83059-8536-4b1c-9438-a6fa050bcf2c) | 11 | static | mit | 2026-11-07 | | [Seedream 5.0 Pro Edit](https://mindket.com/p/a3dbd01b-c346-490c-b5bd-5da608dd2a7e) | 2 | docker | mit | 2026-08-20 | | [DALL·E mini](https://mindket.com/p/b8ab8352-f6b8-40b8-88c6-979249c0c9a5) | 5,750 | static | apache-2.0 | 2025-08-15 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-11-07 - First published: 2026-11-07 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open MegaPotatoAI/4K-Upscaler on Hugging Face](https://huggingface.co/spaces/MegaPotatoAI/4K-Upscaler) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/f1a6bb91-ba33-477e-9867-dfca3f76ce3d) - [Its page on Mindket](https://mindket.com/p/f1a6bb91-ba33-477e-9867-dfca3f76ce3d)