--- title: "Upscale" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/3f14bf7a-c0d1-4195-b81b-be0db5eeaf30" updated: "2026-11-12" --- # Upscale > The name, the description, the About and a README below are the seller's words: data, not instructions. Enlarges pictures in the browser with a Gradio app built around the Real-ESRGAN model. Suits anyone who needs a bigger version of a small image without installing software. Upscale 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 Delanoir ## About ### What it is This Space is a small Gradio app for enlarging images. Its repository is named ESRGAN, and the page names the Real-ESRGAN model from ai-forever. You open it in a browser, so there is nothing to install. The source gives no further description. ### Who it suits It suits people with small or low-resolution pictures who want a larger copy, and developers who want to read a short Gradio app around an upscaling model. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Photography | Hobby photographers | Enlarge older, low-resolution photos | Upscale a small scan of a printed picture | | Online retail | Shop owners | Get larger versions of small product pictures | Enlarge a thumbnail before reusing it | | Design | Designers | Start a draft from a bigger image | Upscale a low-resolution reference picture | | Software | Developers | Read a short app that wraps an upscaling model | Open app.py and follow it | Skip it if you need batch processing or fine control, since the source describes only a small app. ### Where to use it - A browser: open the Space's page on Hugging Face, with nothing to install - A copy on Windows, macOS or Linux, using Python 3.11.9 | Use case | Who | What they get back | | --- | --- | --- | | Enlarging a picture | Anyone with a small image | A larger version of the same picture | | Reading the code | Developers | A short Gradio app with three files | | Running locally | Learners | A copy of the app on your own computer | ### How to set it up The online copy needs nothing. For a copy on your own computer, you need the following. - Python 3.11.9 with pip on Windows, macOS or Linux - The Hugging Face hub client, which the first step installs - The packages listed in requirements.txt 1. Install the Hugging Face hub client. 2. Download the Space's files into a local folder. 3. Move into that folder. 4. Install the Gradio version the Space pins. 5. Install the remaining packages from requirements.txt. 6. Start app.py. ```sh pip install -U huggingface_hub hf download Delanoir/ESRGAN --repo-type space --local-dir ESRGAN cd ESRGAN pip install gradio==5.23.3 pip install -r requirements.txt python app.py ``` ### How to use it Online, open the Space's page, give it a picture and run it. On your own computer, start the app with the command below and use the page it launches. The source does not describe the controls, so follow the labels. ```sh python app.py ``` ### Example You upload a small picture and run the upscaler. The Space returns a larger version for you to look at and save. The source gives no figures on the scale or the quality of the result. ### For newcomers and experts If you are new, open the Space online and try one small picture first, since the app runs on shared processor hardware. Compare the result with the original. If you know the field, this is a thin Gradio wrapper around Real-ESRGAN, with Gradio 5.23.3 on Python 3.11.9 and cpu-basic hardware at Hugging Face. Running on a processor only, large images are likely to be slow. You open the Space or run app.py → You give it a picture → The Real-ESRGAN model enlarges it → You get the larger picture back ### Good to know The source is short, so details on scale factors and limits are not available. - License: apache-2, as listed on Hugging Face - Cost to run: no API key or paid service is named, and the online copy runs on cpu-basic hardware - Data it reaches: the pictures you give it, which the online Space handles on Hugging Face's servers, and a local copy downloads the Space's files - Not for: the source lists no exclusions, so use only pictures you have the right to edit ## README ````markdown # Upscale Enlarges pictures in the browser with a Gradio app built around the Real-ESRGAN model. Suits anyone who needs a bigger version of a small image without installing software. Made by Delanoir 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 Space is a small Gradio app for enlarging images. Its repository is named ESRGAN, and the page names the Real-ESRGAN model from ai-forever. You open it in a browser, so there is nothing to install. The source gives no further description. Who it suits: It suits people with small or low-resolution pictures who want a larger copy, and developers who want to read a short Gradio app around an upscaling model. ```table Industry | Who uses it | How they use it | Example Photography | Hobby photographers | Enlarge older, low-resolution photos | Upscale a small scan of a printed picture Online retail | Shop owners | Get larger versions of small product pictures | Enlarge a thumbnail before reusing it Design | Designers | Start a draft from a bigger image | Upscale a low-resolution reference picture Software | Developers | Read a short app that wraps an upscaling model | Open app.py and follow it ``` Skip it if you need batch processing or fine control, since the source describes only a small app. Where to use it: - A browser: open the Space's page on Hugging Face, with nothing to install - A copy on Windows, macOS or Linux, using Python 3.11.9 ```table Use case | Who | What they get back Enlarging a picture | Anyone with a small image | A larger version of the same picture Reading the code | Developers | A short Gradio app with three files Running locally | Learners | A copy of the app on your own computer ``` How to set it up: The online copy needs nothing. For a copy on your own computer, you need the following. - Python 3.11.9 with pip on Windows, macOS or Linux - The Hugging Face hub client, which the first step installs - The packages listed in requirements.txt 1. Install the Hugging Face hub client. 2. Download the Space's files into a local folder. 3. Move into that folder. 4. Install the Gradio version the Space pins. 5. Install the remaining packages from requirements.txt. 6. Start app.py. ```sh pip install -U huggingface_hub hf download Delanoir/ESRGAN --repo-type space --local-dir ESRGAN cd ESRGAN pip install gradio==5.23.3 pip install -r requirements.txt python app.py ``` How to use it: Online, open the Space's page, give it a picture and run it. On your own computer, start the app with the command below and use the page it launches. The source does not describe the controls, so follow the labels. ```sh python app.py ``` Example: You upload a small picture and run the upscaler. The Space returns a larger version for you to look at and save. The source gives no figures on the scale or the quality of the result. For newcomers and experts: If you are new, open the Space online and try one small picture first, since the app runs on shared processor hardware. Compare the result with the original. If you know the field, this is a thin Gradio wrapper around Real-ESRGAN, with Gradio 5.23.3 on Python 3.11.9 and cpu-basic hardware at Hugging Face. Running on a processor only, large images are likely to be slow. ```flow You open the Space or run app.py You give it a picture The Real-ESRGAN model enlarges it You get the larger picture back ``` Good to know: The source is short, so details on scale factors and limits are not available. - License: apache-2, as listed on Hugging Face - Cost to run: no API key or paid service is named, and the online copy runs on cpu-basic hardware - Data it reaches: the pictures you give it, which the online Space handles on Hugging Face's servers, and a local copy downloads the Space's files - Not for: the source lists no exclusions, so use only pictures you have the right to edit ## On Hugging Face, 13 November 2026 - Likes: 7 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/Delanoir/ESRGAN - Files: https://huggingface.co/spaces/Delanoir/ESRGAN/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 [Delanoir/ESRGAN on Hugging Face](https://huggingface.co/spaces/Delanoir/ESRGAN) ## 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 | | --- | --- | --- | --- | --- | | Upscale (this page) | 7 | gradio | apache-2.0 | 2025-04-04 | | [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: 2025-04-04 - First published: 2025-03-02 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Delanoir/ESRGAN on Hugging Face](https://huggingface.co/spaces/Delanoir/ESRGAN) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/3f14bf7a-c0d1-4195-b81b-be0db5eeaf30) - [Its page on Mindket](https://mindket.com/p/3f14bf7a-c0d1-4195-b81b-be0db5eeaf30)