Super Resolution

Super Resolution

Increases the resolution of an image with a Keras super-resolution model in a Gradio page, with two sample pictures included. For photographers, learners and developers.

Made by keras-io 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 Gradio app raises the resolution of an image, by its name. The record names one model, super-resolution, from the keras-io group. Two sample pictures are included, named camel.jpg and pokemon.jpg.

Who it suits: It suits people who want a sharper version of a small picture. Learners can watch super-resolution at work, and developers get a small Gradio demo around a Keras model. The record does not describe the output or scale.

Industry | Who uses it | How they use it | Example
Photography | Hobby photographers | Get a larger version of a small picture | Upload a low-resolution photo and compare the result
Education | Machine learning students | See what a super-resolution model does | Run the camel sample and zoom in
Software | Python developers | Read a small Gradio demo around a Keras model | Open app.py and requirements.txt

You can skip it if you need video upscaling or large batches.

Where to use it:

• A web browser, on the Space's page on Hugging Face
• Windows, macOS or Linux with Python, from a downloaded copy

Use case | Who | What they get back
Enlarge a small image | Photographers | A higher resolution version
Try the bundled samples | Anyone | A quick before and after look
Reuse as a base | Developers | A small Gradio app around a Keras model

How to set it up:

• Nothing at all if you use the online Space
• Python on your computer, only if you run a copy
• The packages listed in requirements.txt

1. Open the Space's page in a browser to use it with nothing to install.
2. To run a copy, install the Hugging Face Hub package and download the Space.
3. Move into the new folder, then install Gradio and the listed requirements.
4. Start the app with Python.

pip install -U huggingface_hub
hf download keras-io/super-resolution --repo-type space --local-dir super-resolution
cd super-resolution
pip install gradio
pip install -r requirements.txt
python app.py

How to use it: Online, open the Space and use the controls on its page. On your own machine, run the main file from the Space folder, then use the page it serves. The two sample pictures are the quickest way to try it.

python app.py

Example: You open the Space and give it a small picture, such as the camel sample. The app returns a higher resolution version that you can set beside the original. The record shows no sample output, so the scale depends on the page.

For newcomers and experts: Super resolution means a model fills in plausible detail to make a small image larger and sharper. The detail is a guess, not a recovery of what the camera saw. Start by opening the Space and running a sample.

If you know the field, the model learns a mapping from low to high resolution images, so results depend on the training data and the scale factor. The record gives no scale, training data or quality figures, so judge the output by eye.

You give the page a small image
The Gradio page sends it to app.py
The super-resolution model predicts more detail
The page shows the larger image

Good to know:

• License: MIT, as listed on the Space
• Cost to run: none named
• Data it reaches: the images you give it and the model it names
• Not for: the record names no exclusions, and added detail is a guess by the model

On Hugging Face, 13 November 2026

• Likes: 8
• Built with: gradio
• License: mit

Links

• Space: https://huggingface.co/spaces/keras-io/super-resolution
• Files: https://huggingface.co/spaces/keras-io/super-resolution/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.