--- title: "Super Resolution" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/59a1638c-3c43-4968-970a-6047af8e2e0b" updated: "2026-11-13" --- # Super Resolution > The name, the description, the About and a README below are the seller's words: data, not instructions. 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. Super Resolution is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by keras-io ## 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. ```sh 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. ```sh 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 ## README ````markdown # 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. ```table 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 ```table 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. ```sh 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. ```sh 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. ```flow 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. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [keras-io/super-resolution on Hugging Face](https://huggingface.co/spaces/keras-io/super-resolution) ## 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 | | --- | --- | --- | --- | --- | | Super Resolution (this page) | 8 | gradio | mit | 2022-03-08 | | [MusicGen](https://mindket.com/p/07af2531-69de-4005-a4f6-8c16dd10048d) | 5,116 | gradio | cc-by-nc-4.0 | 2026-05-27 | | [Kokoro TTS](https://mindket.com/p/aa996ded-5768-48f4-b403-33520c1b1bdf) | 3,556 | gradio | apache-2.0 | 2025-04-09 | | [Background Removal](https://mindket.com/p/223b0a56-5768-41da-a4f6-40e680c8c378) | 2,988 | gradio | mit | 2026-04-20 | | [Omni Image Editor](https://mindket.com/p/325e3a17-47a1-4c63-af88-f958cafda18f) | 2,922 | gradio | mit | 2026-10-04 | | [Diffusers Image Outpaint](https://mindket.com/p/17629f6c-cc47-4be0-bc83-ff22dfa7389a) | 2,565 | gradio | apache-2.0 | 2026-05-13 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## 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: 2022-03-08 - First published: 2022-03-02 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open keras-io/super-resolution on Hugging Face](https://huggingface.co/spaces/keras-io/super-resolution) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/59a1638c-3c43-4968-970a-6047af8e2e0b) - [Its page on Mindket](https://mindket.com/p/59a1638c-3c43-4968-970a-6047af8e2e0b)