--- title: "upscaler" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/03f28981-a2a1-4a7f-9974-7a446f138ccb" updated: "2026-11-14" --- # upscaler > The name, the description, the About and a README below are the seller's words: data, not instructions. Holds a set of image upscaling models gathered from the OpenModelDB community, for people who want to enlarge low-resolution pictures with AI on their own computer. upscaler is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-14. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by uwg ## About ### What it is This repository gathers image upscaling models taken from OpenModelDB, a shared catalog where community members list AI models that enlarge pictures. The Hugging Face page holds the model files and a short note on where they came from. The card says little beyond that. ### Who it suits It suits people who enlarge low-resolution images and want ready-made upscaling models to try on their own machine. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Photography | Hobby photographers | Download a model to enlarge small or old photos | A small scan of a family print made larger | | Design | Graphic designers | Try different models on artwork that is too small | A low-resolution sketch scaled up for a layout | | Archiving | People who keep old image collections | Run an upscaling model over images with little detail | A faded album page enlarged for viewing | You can skip it if you want a hosted app with nothing to download, since this page only holds model files. ### Where to use it - Windows, macOS or Linux with Python, which is where the download steps run - Your own computer, because the files are copied there and nothing is hosted for you - Any upscaling program you already use that can load a model file, once you check the card for the format | Use case | Who | What they get back | | --- | --- | --- | | Enlarge a photo | Photographers | A larger copy made by the model you pick | | Try several models on one image | Designers | A way to compare how each model handles detail | | Collect models in one place | Hobbyists | A local copy of the repository files | ### How to set it up - Python on your computer - The pip tool that comes with it - Disk space for the model files 1. Install the Hugging Face hub package with pip. 2. Run the download command to copy the repository files to your computer. 3. Open the downloaded files and read the model card for anything extra. ```sh pip install -U huggingface_hub hf download uwg/upscaler ``` ### How to use it The model card gives no run command of its own, so what you work with is the set of files the download command copies. You load a model from them in the upscaling program you prefer. ```sh hf download uwg/upscaler ``` ### Example You run the download command on your computer and wait for it to finish. What comes back is a local copy of the repository files. From there you pick a model and try it on a small image you want larger. ### For newcomers and experts If you are new to this, start by running the two setup commands and looking at what lands on your disk. Then read the short model card. An upscaling model takes a small picture and produces a larger one, and each model in a collection like this can behave differently. If you know the field, note that this is a plain file collection rather than a hosted service or a single trained model. The card names OpenModelDB as the origin and gives no scale factors, file formats, benchmarks or run instructions, so check each file before you build on it. Install the Hugging Face hub package → Download the repository files → Read the model card → Load a model in your upscaling tool → Try it on a small image ### Good to know - Limits: The card does not list which models are inside, their scale factors or how to run them. - License: MIT. - Cost to run: none named. - Data it reaches: it copies the repository files to your computer through the Hugging Face download tool. ## README ````markdown # upscaler Holds a set of image upscaling models gathered from the OpenModelDB community, for people who want to enlarge low-resolution pictures with AI on their own computer. Made by uwg on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face. ## About What it is: This repository gathers image upscaling models taken from OpenModelDB, a shared catalog where community members list AI models that enlarge pictures. The Hugging Face page holds the model files and a short note on where they came from. The card says little beyond that. Who it suits: It suits people who enlarge low-resolution images and want ready-made upscaling models to try on their own machine. ```table Industry | Who uses it | How they use it | Example Photography | Hobby photographers | Download a model to enlarge small or old photos | A small scan of a family print made larger Design | Graphic designers | Try different models on artwork that is too small | A low-resolution sketch scaled up for a layout Archiving | People who keep old image collections | Run an upscaling model over images with little detail | A faded album page enlarged for viewing ``` You can skip it if you want a hosted app with nothing to download, since this page only holds model files. Where to use it: - Windows, macOS or Linux with Python, which is where the download steps run - Your own computer, because the files are copied there and nothing is hosted for you - Any upscaling program you already use that can load a model file, once you check the card for the format ```table Use case | Who | What they get back Enlarge a photo | Photographers | A larger copy made by the model you pick Try several models on one image | Designers | A way to compare how each model handles detail Collect models in one place | Hobbyists | A local copy of the repository files ``` How to set it up: - Python on your computer - The pip tool that comes with it - Disk space for the model files 1. Install the Hugging Face hub package with pip. 2. Run the download command to copy the repository files to your computer. 3. Open the downloaded files and read the model card for anything extra. ```sh pip install -U huggingface_hub hf download uwg/upscaler ``` How to use it: The model card gives no run command of its own, so what you work with is the set of files the download command copies. You load a model from them in the upscaling program you prefer. ```sh hf download uwg/upscaler ``` Example: You run the download command on your computer and wait for it to finish. What comes back is a local copy of the repository files. From there you pick a model and try it on a small image you want larger. For newcomers and experts: If you are new to this, start by running the two setup commands and looking at what lands on your disk. Then read the short model card. An upscaling model takes a small picture and produces a larger one, and each model in a collection like this can behave differently. If you know the field, note that this is a plain file collection rather than a hosted service or a single trained model. The card names OpenModelDB as the origin and gives no scale factors, file formats, benchmarks or run instructions, so check each file before you build on it. ```flow Install the Hugging Face hub package Download the repository files Read the model card Load a model in your upscaling tool Try it on a small image ``` Good to know: - Limits: The card does not list which models are inside, their scale factors or how to run them. - License: MIT. - Cost to run: none named. - Data it reaches: it copies the repository files to your computer through the Hugging Face download tool. ## On Hugging Face, 14 November 2026 - Downloads in the last 30 days: 0 - Likes: 738 - License: mit - Languages: en - Tags: onnx, upscalers ## Links - Model: https://huggingface.co/uwg/upscaler - Files: https://huggingface.co/uwg/upscaler/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download uwg/upscaler ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [uwg/upscaler on Hugging Face](https://huggingface.co/uwg/upscaler) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | Parameters | License | Last change | | --- | --- | --- | --- | --- | --- | | upscaler (this page) | 0 | 738 | — | mit | 2024-12-23 | | [Orukeet](https://mindket.com/p/01ec445a-061b-4b1f-a0e9-91cef756f183) | 35,262 | 110 | 627M | cc-by-sa-4.0 | 2026-11-11 | | [Ming-3.0-audio-tiny](https://mindket.com/p/0a09263a-2803-4edd-86b0-747ca737db25) | 5,202 | 62 | 8.9B | mit | 2026-10-29 | | [Applio by IAHispano](https://mindket.com/p/3e2deb09-3811-4536-a045-d10b219cf7c7) | 334 | 229 | — | mit | 2026-10-26 | | [AE3-TL](https://mindket.com/p/5e7ef2ee-310c-4e50-b182-2907ccc23049) | 16 | 6 | — | apache-2.0 | 2026-11-04 | Numbers as Mindket last read them, from 2026-11-13 to 2026-11-14. ## 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: 2024-12-23 - First published: 2023-02-04 - Checked on Hugging Face: 2026-11-14 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open uwg/upscaler on Hugging Face](https://huggingface.co/uwg/upscaler) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/03f28981-a2a1-4a7f-9974-7a446f138ccb) - [Its page on Mindket](https://mindket.com/p/03f28981-a2a1-4a7f-9974-7a446f138ccb)