--- title: "Tile Upscaler" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/82f29657-8446-4ed3-8030-b4d4c2291d34" updated: "2026-11-12" --- # Tile Upscaler > The name, the description, the About and a README below are the seller's words: data, not instructions. Enlarges an image with Real-ESRGAN and a diffusion model guided by ControlNet, in a Gradio app. It suits anyone who needs a bigger version of a picture. Tile 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 gokaygokay ## About ### What it is Tile Upscaler is a Gradio app that makes a larger version of an image. It names Real-ESRGAN, a Juggernaut Reborn diffusion model and ControlNet 1.1 among its models, along with embeddings and LoRA files. It also names a Stable Diffusion safety checker, and it runs on GPU hardware at Hugging Face. ### Who it suits People who have a small or low-resolution picture and want a bigger one for a design, a print or a post. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Design | Graphic designers | Enlarge artwork for a layout | Upscale a small illustration | | Photography | Photographers | Make a bigger copy of an older photo | Upscale a scan of a print | | Marketing | Social media teams | Prepare larger versions of campaign images | Enlarge a product shot | | Software | Developers | Study an upscaling pipeline in Gradio | Read app.py | People who only need to shrink or crop images can skip it. ### Where to use it - A browser, by visiting the Space on Hugging Face - Windows, macOS or Linux with Python, for a copy on your own computer - A local Gradio page, once app.py is running | Use case | Who | What they get back | | --- | --- | --- | | Enlarge an image | Designers and photographers | A larger version of the picture | | Try the sample images | New users | A quick look at the app with the included pictures | ### How to set it up - Python and pip on Windows, macOS or Linux - The Python packages in requirements.txt - Gradio 5.49.1, the version the Space uses - A GPU, since the Space is set to zero-a10g 1. Install the Hugging Face hub package. 2. Download the Space with the hf command. 3. Move into the new folder. 4. Install gradio at the version the Space uses, then the listed packages. 5. Start the app with Python. ```sh pip install -U huggingface_hub hf download gokaygokay/Tile-Upscaler --repo-type space --local-dir Tile-Upscaler cd Tile-Upscaler pip install gradio==5.49.1 pip install -r requirements.txt python app.py ``` ### How to use it Online, visit the Space on Hugging Face, give it a picture and read the larger result. On your own computer, run the start command and open the local page Gradio serves. ```sh python app.py ``` | Tool | What it does | | --- | --- | | app.py | Starts the Gradio interface | | requirements.txt | Lists the Python packages to install | | image1.jpg | A sample picture kept in the repository | | image2.png | A sample picture kept in the repository | ### Example You give the app a small photo and ask for a larger one. It returns an enlarged version of the picture. ### For newcomers and experts If you are new, try one of the sample pictures in the repository first. Upscaling means making an image bigger while keeping it looking sharp. If you know the field, the Space combines Real-ESRGAN with a diffusion model and ControlNet, and it uses embeddings and LoRA files from philz1337x. Gradio is pinned to 5.49.1 and the hardware is zero-a10g. The trade-off is a GPU requirement and several large downloads. You give the app a picture → The upscaling models enlarge it → The diffusion model adds detail → You get the larger picture back ### Good to know - Hardware: the Space is set to zero-a10g - Models: it names six models or model folders on Hugging Face - Credit: the author asks that academic work cite the Space and its upstream models - License: apache-2 - Cost to run: GPU hardware, no API key or paid service is named - Data it reaches: the pictures you give it and the models it fetches from Hugging Face ## README ````markdown # Tile Upscaler Enlarges an image with Real-ESRGAN and a diffusion model guided by ControlNet, in a Gradio app. It suits anyone who needs a bigger version of a picture. Made by gokaygokay 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: Tile Upscaler is a Gradio app that makes a larger version of an image. It names Real-ESRGAN, a Juggernaut Reborn diffusion model and ControlNet 1.1 among its models, along with embeddings and LoRA files. It also names a Stable Diffusion safety checker, and it runs on GPU hardware at Hugging Face. Who it suits: People who have a small or low-resolution picture and want a bigger one for a design, a print or a post. ```table Industry | Who uses it | How they use it | Example Design | Graphic designers | Enlarge artwork for a layout | Upscale a small illustration Photography | Photographers | Make a bigger copy of an older photo | Upscale a scan of a print Marketing | Social media teams | Prepare larger versions of campaign images | Enlarge a product shot Software | Developers | Study an upscaling pipeline in Gradio | Read app.py ``` People who only need to shrink or crop images can skip it. Where to use it: - A browser, by visiting the Space on Hugging Face - Windows, macOS or Linux with Python, for a copy on your own computer - A local Gradio page, once app.py is running ```table Use case | Who | What they get back Enlarge an image | Designers and photographers | A larger version of the picture Try the sample images | New users | A quick look at the app with the included pictures ``` How to set it up: - Python and pip on Windows, macOS or Linux - The Python packages in requirements.txt - Gradio 5.49.1, the version the Space uses - A GPU, since the Space is set to zero-a10g 1. Install the Hugging Face hub package. 2. Download the Space with the hf command. 3. Move into the new folder. 4. Install gradio at the version the Space uses, then the listed packages. 5. Start the app with Python. ```sh pip install -U huggingface_hub hf download gokaygokay/Tile-Upscaler --repo-type space --local-dir Tile-Upscaler cd Tile-Upscaler pip install gradio==5.49.1 pip install -r requirements.txt python app.py ``` How to use it: Online, visit the Space on Hugging Face, give it a picture and read the larger result. On your own computer, run the start command and open the local page Gradio serves. ```sh python app.py ``` ```table Tool | What it does app.py | Starts the Gradio interface requirements.txt | Lists the Python packages to install image1.jpg | A sample picture kept in the repository image2.png | A sample picture kept in the repository ``` Example: You give the app a small photo and ask for a larger one. It returns an enlarged version of the picture. For newcomers and experts: If you are new, try one of the sample pictures in the repository first. Upscaling means making an image bigger while keeping it looking sharp. If you know the field, the Space combines Real-ESRGAN with a diffusion model and ControlNet, and it uses embeddings and LoRA files from philz1337x. Gradio is pinned to 5.49.1 and the hardware is zero-a10g. The trade-off is a GPU requirement and several large downloads. ```flow You give the app a picture The upscaling models enlarge it The diffusion model adds detail You get the larger picture back ``` Good to know: - Hardware: the Space is set to zero-a10g - Models: it names six models or model folders on Hugging Face - Credit: the author asks that academic work cite the Space and its upstream models - License: apache-2 - Cost to run: GPU hardware, no API key or paid service is named - Data it reaches: the pictures you give it and the models it fetches from Hugging Face ## On Hugging Face, 13 November 2026 - Likes: 1,013 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/gokaygokay/Tile-Upscaler - Files: https://huggingface.co/spaces/gokaygokay/Tile-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 [gokaygokay/Tile-Upscaler on Hugging Face](https://huggingface.co/spaces/gokaygokay/Tile-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 | | --- | --- | --- | --- | --- | | Tile Upscaler (this page) | 1,013 | gradio | apache-2.0 | 2026-07-31 | | [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: 2026-07-31 - First published: 2024-06-28 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open gokaygokay/Tile-Upscaler on Hugging Face](https://huggingface.co/spaces/gokaygokay/Tile-Upscaler) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/82f29657-8446-4ed3-8030-b4d4c2291d34) - [Its page on Mindket](https://mindket.com/p/82f29657-8446-4ed3-8030-b4d4c2291d34)