--- title: "MIDJOURNEY" kind: "Kit" category: "Marketing & SEO" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/99d0744f-7046-4939-81ca-95b0daf96b8a" updated: "2026-11-12" --- # MIDJOURNEY > The name, the description, the About and a README below are the seller's words: data, not instructions. Makes high resolution, realistic-looking images in a Gradio app using the RealVisXL Turbo models, despite its Midjourney name. It suits designers, marketers and hobbyists who want pictures without setup. MIDJOURNEY is a kit in the Marketing \& SEO 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 mukaist ## About ### What it is MIDJOURNEY is a Gradio app for generating high resolution images with RealVisXL Turbo. Despite the name, the Space names two RealVisXL models, V2.02 Turbo and V3.0 Turbo, and not the Midjourney service. The repository holds app.py, requirements.txt and a README. ### Who it suits People who want to turn a written idea into a picture in a browser, with no install and no account on their own side. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Marketing | Content creators | Make an image for a post or an ad draft | A product style picture | | Design | Designers | Test visual ideas before a full shoot or render | A mood image | | Publishing | Bloggers | Create an illustration for an article | A header picture | | Software | Developers | Read how a text to image app is wired in Gradio | Opening app.py | If you need a specific commercial licence for the images, read the licence terms first or skip it. ### Where to use it - A web browser, on the Space's page at Hugging Face - Windows, macOS or Linux with Python, from a downloaded copy | Use case | Who | What they get back | | --- | --- | --- | | Quick concept art | Designers | An image generated from a text idea | | Social visuals | Marketers | A picture to adapt for a post | | Code reading | Developers | A short Gradio app to study and change | ### How to set it up - Python on your computer - Python packages from requirements.txt, with Gradio 6.14.0 - At Hugging Face the Space runs on zero-a10g hardware, so a copy may want a similar GPU 1. Install the Hugging Face hub package. 2. Download the Space with the hf command. 3. Move into the downloaded folder. 4. Install Gradio 6.14.0, then the requirements. 5. Start app.py. ```sh pip install -U huggingface_hub hf download mukaist/Midjourney --repo-type space --local-dir Midjourney cd Midjourney pip install gradio==6.14.0 pip install -r requirements.txt python app.py ``` ### How to use it Online, open the Space page and use the screen there. On your own computer, start the app with the command below and use the screen it opens. ```sh python app.py ``` ### Example You type a short description of a scene and run it. The source does not show the screen, but a text to image app like this returns a generated picture. ### For newcomers and experts Open the Space page, describe one simple scene in a sentence and see what comes back. Keep the first try short so you can judge the style quickly. The Space names SG161222/RealVisXL\_V2.02\_Turbo and SG161222/RealVisXL\_V3.0\_Turbo and runs them on zero-a10g hardware. The source gives no settings, image sizes or speed figures, so check those in the app itself. You describe a picture in text → app.py passes it to a RealVisXL Turbo model → The model renders the image → The picture is shown in the app ### Good to know - Hardware: zero-a10g at Hugging Face, built with Gradio 6.14.0 - License: creativeml-openrail-m - Cost to run: none named - Data it reaches: the text you enter, plus the two named models - Not for: the source names no limits, and it does not link the Space to the Midjourney service ## README ````markdown # MIDJOURNEY Makes high resolution, realistic-looking images in a Gradio app using the RealVisXL Turbo models, despite its Midjourney name. It suits designers, marketers and hobbyists who want pictures without setup. Made by mukaist 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: MIDJOURNEY is a Gradio app for generating high resolution images with RealVisXL Turbo. Despite the name, the Space names two RealVisXL models, V2.02 Turbo and V3.0 Turbo, and not the Midjourney service. The repository holds app.py, requirements.txt and a README. Who it suits: People who want to turn a written idea into a picture in a browser, with no install and no account on their own side. ```table Industry | Who uses it | How they use it | Example Marketing | Content creators | Make an image for a post or an ad draft | A product style picture Design | Designers | Test visual ideas before a full shoot or render | A mood image Publishing | Bloggers | Create an illustration for an article | A header picture Software | Developers | Read how a text to image app is wired in Gradio | Opening app.py ``` If you need a specific commercial licence for the images, read the licence terms first or skip it. Where to use it: - A web browser, on the Space's page at Hugging Face - Windows, macOS or Linux with Python, from a downloaded copy ```table Use case | Who | What they get back Quick concept art | Designers | An image generated from a text idea Social visuals | Marketers | A picture to adapt for a post Code reading | Developers | A short Gradio app to study and change ``` How to set it up: - Python on your computer - Python packages from requirements.txt, with Gradio 6.14.0 - At Hugging Face the Space runs on zero-a10g hardware, so a copy may want a similar GPU 1. Install the Hugging Face hub package. 2. Download the Space with the hf command. 3. Move into the downloaded folder. 4. Install Gradio 6.14.0, then the requirements. 5. Start app.py. ```sh pip install -U huggingface_hub hf download mukaist/Midjourney --repo-type space --local-dir Midjourney cd Midjourney pip install gradio==6.14.0 pip install -r requirements.txt python app.py ``` How to use it: Online, open the Space page and use the screen there. On your own computer, start the app with the command below and use the screen it opens. ```sh python app.py ``` Example: You type a short description of a scene and run it. The source does not show the screen, but a text to image app like this returns a generated picture. For newcomers and experts: Open the Space page, describe one simple scene in a sentence and see what comes back. Keep the first try short so you can judge the style quickly. The Space names SG161222/RealVisXL_V2.02_Turbo and SG161222/RealVisXL_V3.0_Turbo and runs them on zero-a10g hardware. The source gives no settings, image sizes or speed figures, so check those in the app itself. ```flow You describe a picture in text app.py passes it to a RealVisXL Turbo model The model renders the image The picture is shown in the app ``` Good to know: - Hardware: zero-a10g at Hugging Face, built with Gradio 6.14.0 - License: creativeml-openrail-m - Cost to run: none named - Data it reaches: the text you enter, plus the two named models - Not for: the source names no limits, and it does not link the Space to the Midjourney service ## On Hugging Face, 13 November 2026 - Likes: 3,001 - Built with: gradio - License: creativeml-openrail-m ## Links - Space: https://huggingface.co/spaces/mukaist/Midjourney - Files: https://huggingface.co/spaces/mukaist/Midjourney/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 [mukaist/Midjourney on Hugging Face](https://huggingface.co/spaces/mukaist/Midjourney) ## 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 | | --- | --- | --- | --- | --- | | MIDJOURNEY (this page) | 3,001 | gradio | creativeml-openrail-m | 2026-05-24 | | [Kolors Virtual Try-On](https://mindket.com/p/6963056a-5ea4-4dbe-9188-3e37fa5597f3) | 10,223 | gradio | apache-2.0 | 2026-04-01 | | [QIE-2511 Rapid-AIO LoRAs Fast (Experimental)](https://mindket.com/p/17cd9ed3-6c76-42c5-afeb-b17a7f28d29d) | 569 | gradio | apache-2.0 | 2026-09-25 | | [Omni Video Factory by elbobo](https://mindket.com/p/578d3069-5789-43e4-988c-c0b5534d6b3b) | 8 | gradio | mit | 2026-08-30 | | [AI Talking Avatar Generator From Photo](https://mindket.com/p/c9cf82b1-3ae6-49e2-a720-dc707717e491) | 5 | gradio | mit | 2026-08-07 | | [Video Dubbing (SoniTranslate)](https://mindket.com/p/2c68ccfe-5cbd-49a0-88e8-addbc0d6ef9c) | 3 | gradio | mit | 2025-05-14 | 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: 2026-05-24 - First published: 2024-06-12 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open mukaist/Midjourney on Hugging Face](https://huggingface.co/spaces/mukaist/Midjourney) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/99d0744f-7046-4939-81ca-95b0daf96b8a) - [Its page on Mindket](https://mindket.com/p/99d0744f-7046-4939-81ca-95b0daf96b8a)