upscaler

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.

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.

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.

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.

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:

pip install -U huggingface_hub
hf download uwg/upscaler

Then follow the usage in its model card. Nothing in this kit runs by itself.