--- title: "Image Upscaler" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/2beae888-75a9-445d-95eb-5c7c7c4d0134" updated: "2026-11-12" --- # Image Upscaler > The name, the description, the About and a README below are the seller's words: data, not instructions. Processes images with a set of Phips models on a Gradio page, with model names that point to JPEG, H264 and noise clean-up. For people who want cleaner, sharper pictures in the browser. Image 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 Phips ## About ### What it is Image Upscaler is a Gradio page from Phips for processing pictures with image models. It names six models, and their names mention JPEG, H264 and noise clean-up. You can open it in the browser with nothing to install. ### Who it suits It suits people who want to improve a compressed or noisy picture, and developers who want to see how a small image model demo is built. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Photography | Photographers | Clean up compressed or noisy photos | Upload a heavily compressed JPEG | | Media | Video editors | Improve a still taken from compressed video | Try a frame grab | | Design | Designers | Tidy a low quality source picture | Upload a small web image | | Software | Python developers | Read a compact Gradio demo for image models | Look through app.py | Skip it if you need controls and documentation, since the source gives no README text. ### Where to use it - A web browser, on the Space's page at Hugging Face, which runs on ZeroGPU - Your own Windows, macOS or Linux computer with Python | Use case | Who | What they get back | | --- | --- | --- | | Clean up a compressed picture | Photographers | A processed version of the image | | Try several models on one image | Researchers | Results from the named models to compare | | Study the demo | Developers | A small Gradio app of a few files | ### How to set it up The online page needs nothing. A local copy needs Python and the packages in requirements.txt. - Python and pip - Python packages from requirements.txt - Windows, macOS or Linux 1. Install the Hugging Face hub library. 2. Download the Space's files into a folder named Upscaler. 3. Move into that folder. 4. Install Gradio 4.44.1, then the packages from requirements.txt. 5. Start app.py. ```sh pip install -U huggingface_hub hf download Phips/Upscaler --repo-type space --local-dir Upscaler cd Upscaler pip install gradio==4.44.1 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space's page, or run the last command above for a local copy and open the address it prints. Give the page an image and let it process it. ```sh python app.py ``` ### Example You open the page and load the sample picture that ships with the repository, input\_example1.png. The page processes it and shows you the result next to what you gave it. ### For newcomers and experts Start with the sample picture in the repository, so you can see what the page does before you try your own file. The app is built with Gradio 4.44.1, and its main file is app.py. The Hugging Face copy runs on ZeroGPU hardware. The six model names carry a 1x prefix, and their parts mention realplksr, HAT, OmniSR and SRFormer. The record gives no README, so what each model does is for you to confirm by trying it or reading the code. Open the page → Give it an image → A model runs on a ZeroGPU → Look at the result ### Good to know - Hardware: The Hugging Face copy runs on ZeroGPU hardware. - Gaps: The source has no README, so model roles and limits are not described here. - License: apache-2. - Cost to run: none named. - Data it reaches: The images you give it. ## README ````markdown # Image Upscaler Processes images with a set of Phips models on a Gradio page, with model names that point to JPEG, H264 and noise clean-up. For people who want cleaner, sharper pictures in the browser. Made by Phips 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: Image Upscaler is a Gradio page from Phips for processing pictures with image models. It names six models, and their names mention JPEG, H264 and noise clean-up. You can open it in the browser with nothing to install. Who it suits: It suits people who want to improve a compressed or noisy picture, and developers who want to see how a small image model demo is built. ```table Industry | Who uses it | How they use it | Example Photography | Photographers | Clean up compressed or noisy photos | Upload a heavily compressed JPEG Media | Video editors | Improve a still taken from compressed video | Try a frame grab Design | Designers | Tidy a low quality source picture | Upload a small web image Software | Python developers | Read a compact Gradio demo for image models | Look through app.py ``` Skip it if you need controls and documentation, since the source gives no README text. Where to use it: - A web browser, on the Space's page at Hugging Face, which runs on ZeroGPU - Your own Windows, macOS or Linux computer with Python ```table Use case | Who | What they get back Clean up a compressed picture | Photographers | A processed version of the image Try several models on one image | Researchers | Results from the named models to compare Study the demo | Developers | A small Gradio app of a few files ``` How to set it up: The online page needs nothing. A local copy needs Python and the packages in requirements.txt. - Python and pip - Python packages from requirements.txt - Windows, macOS or Linux 1. Install the Hugging Face hub library. 2. Download the Space's files into a folder named Upscaler. 3. Move into that folder. 4. Install Gradio 4.44.1, then the packages from requirements.txt. 5. Start app.py. ```sh pip install -U huggingface_hub hf download Phips/Upscaler --repo-type space --local-dir Upscaler cd Upscaler pip install gradio==4.44.1 pip install -r requirements.txt python app.py ``` How to use it: Open the Space's page, or run the last command above for a local copy and open the address it prints. Give the page an image and let it process it. ```sh python app.py ``` Example: You open the page and load the sample picture that ships with the repository, input_example1.png. The page processes it and shows you the result next to what you gave it. For newcomers and experts: Start with the sample picture in the repository, so you can see what the page does before you try your own file. The app is built with Gradio 4.44.1, and its main file is app.py. The Hugging Face copy runs on ZeroGPU hardware. The six model names carry a 1x prefix, and their parts mention realplksr, HAT, OmniSR and SRFormer. The record gives no README, so what each model does is for you to confirm by trying it or reading the code. ```flow Open the page Give it an image A model runs on a ZeroGPU Look at the result ``` Good to know: - Hardware: The Hugging Face copy runs on ZeroGPU hardware. - Gaps: The source has no README, so model roles and limits are not described here. - License: apache-2. - Cost to run: none named. - Data it reaches: The images you give it. ## On Hugging Face, 13 November 2026 - Likes: 430 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/Phips/Upscaler - Files: https://huggingface.co/spaces/Phips/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, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [Phips/Upscaler on Hugging Face](https://huggingface.co/spaces/Phips/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 | | --- | --- | --- | --- | --- | | Image Upscaler (this page) | 430 | gradio | apache-2.0 | 2025-10-21 | | [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, 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: 2025-10-21 - First published: 2024-10-07 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Phips/Upscaler on Hugging Face](https://huggingface.co/spaces/Phips/Upscaler) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/2beae888-75a9-445d-95eb-5c7c7c4d0134) - [Its page on Mindket](https://mindket.com/p/2beae888-75a9-445d-95eb-5c7c7c4d0134)