--- title: "Serverless ImgGen Hub" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/19bc9ea9-0c08-4a11-972d-887bdecf38da" updated: "2026-11-12" --- # Serverless ImgGen Hub > The name, the description, the About and a README below are the seller's words: data, not instructions. Generates images from text prompts with Flux and Stable Diffusion 3.5 models plus style LoRAs, with no GPU needed on your side. Easy to modify. Suits artists, hobbyists and developers. Serverless ImgGen Hub 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 Nymbo ## About ### What it is This Space is a small hub for making images from text. It works with Flux and Stable Diffusion 3.5 models and a set of LoRAs, which are add-ons that change the visual style. Its description says no GPU is required, and the code is meant to be easy to change. ### Who it suits It suits artists and hobbyists who want to try different image styles, and developers who want a compact app to modify for their own image generation. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Digital art | Illustrators | Try different styles from one prompt | Compare an anime style with an illustration style | | Marketing | Designers | Draft visual ideas quickly | Sketch a poster concept | | Software | Developers | Fork a short app and change its models | Swap in a different style LoRA | | Hobby | Enthusiasts | Experiment with open image models | Test the same prompt with different LoRAs | You can skip it if you need a polished product with accounts and a gallery, since this is a minimal hub. ### Where to use it - A web browser: open the Space page on Hugging Face - Windows, macOS or Linux: run a copy with Python | Use case | Who | What they get back | | --- | --- | --- | | Generate an image from a prompt | Artists | A picture made by a Flux or SD 3.5 model | | Apply a style LoRA | Hobbyists | An image in the style of the chosen LoRA | | Hack the app | Developers | A short app you can edit and rerun | ### How to set it up The online page needs nothing. A local copy needs Python and the packages in requirements.txt. - A web browser for the online demo - Python for a local copy - The packages listed in requirements.txt 1. To use it online, open the Space page on Hugging Face. 2. To run a copy, install the Hugging Face hub package. 3. Download the Space into a local folder. 4. Move into the folder and install Gradio 6.29.0 and the listed packages. 5. Start the app. ```sh pip install -U huggingface_hub hf download Nymbo/Serverless-ImgGen-Hub --repo-type space --local-dir Serverless-ImgGen-Hub cd Serverless-ImgGen-Hub pip install gradio==6.29.0 pip install -r requirements.txt python app.py ``` ### How to use it Run the app from its folder, or open the Space online. Describe the image you want, choose a model and a style, and generate. The page then shows the picture. ```sh python app.py ``` ### Example You describe a calm coastal town and choose one of the named style LoRAs. The page returns an image of that scene in the chosen style, and you can change the wording and try again. ### For newcomers and experts If you are new to this, write one short sentence about a scene and generate it without changing any option. Then pick a different style and compare. If you know the field, the Space is a thin Gradio app over open image models and LoRA adapters, including illustration, anime and poster styles by their names. It runs on Hugging Face's basic CPU hardware, which fits the description that no GPU is needed, and the repository has just the app file and a requirements list. You write a prompt → You pick a model and a LoRA style → The Gradio app requests the image → The picture appears on the page ### Good to know The README is short, so the page itself is the best guide to its options. The named LoRAs are third-party adapters hosted on Hugging Face, each with its own terms. - License: apache-2 - Cost to run: none named - Data it reaches: the prompts you type ## README ````markdown # Serverless ImgGen Hub Generates images from text prompts with Flux and Stable Diffusion 3.5 models plus style LoRAs, with no GPU needed on your side. Easy to modify. Suits artists, hobbyists and developers. Made by Nymbo 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 hub for making images from text. It works with Flux and Stable Diffusion 3.5 models and a set of LoRAs, which are add-ons that change the visual style. Its description says no GPU is required, and the code is meant to be easy to change. Who it suits: It suits artists and hobbyists who want to try different image styles, and developers who want a compact app to modify for their own image generation. ```table Industry | Who uses it | How they use it | Example Digital art | Illustrators | Try different styles from one prompt | Compare an anime style with an illustration style Marketing | Designers | Draft visual ideas quickly | Sketch a poster concept Software | Developers | Fork a short app and change its models | Swap in a different style LoRA Hobby | Enthusiasts | Experiment with open image models | Test the same prompt with different LoRAs ``` You can skip it if you need a polished product with accounts and a gallery, since this is a minimal hub. Where to use it: - A web browser: open the Space page on Hugging Face - Windows, macOS or Linux: run a copy with Python ```table Use case | Who | What they get back Generate an image from a prompt | Artists | A picture made by a Flux or SD 3.5 model Apply a style LoRA | Hobbyists | An image in the style of the chosen LoRA Hack the app | Developers | A short app you can edit and rerun ``` How to set it up: The online page needs nothing. A local copy needs Python and the packages in requirements.txt. - A web browser for the online demo - Python for a local copy - The packages listed in requirements.txt 1. To use it online, open the Space page on Hugging Face. 2. To run a copy, install the Hugging Face hub package. 3. Download the Space into a local folder. 4. Move into the folder and install Gradio 6.29.0 and the listed packages. 5. Start the app. ```sh pip install -U huggingface_hub hf download Nymbo/Serverless-ImgGen-Hub --repo-type space --local-dir Serverless-ImgGen-Hub cd Serverless-ImgGen-Hub pip install gradio==6.29.0 pip install -r requirements.txt python app.py ``` How to use it: Run the app from its folder, or open the Space online. Describe the image you want, choose a model and a style, and generate. The page then shows the picture. ```sh python app.py ``` Example: You describe a calm coastal town and choose one of the named style LoRAs. The page returns an image of that scene in the chosen style, and you can change the wording and try again. For newcomers and experts: If you are new to this, write one short sentence about a scene and generate it without changing any option. Then pick a different style and compare. If you know the field, the Space is a thin Gradio app over open image models and LoRA adapters, including illustration, anime and poster styles by their names. It runs on Hugging Face's basic CPU hardware, which fits the description that no GPU is needed, and the repository has just the app file and a requirements list. ```flow You write a prompt You pick a model and a LoRA style The Gradio app requests the image The picture appears on the page ``` Good to know: The README is short, so the page itself is the best guide to its options. The named LoRAs are third-party adapters hosted on Hugging Face, each with its own terms. - License: apache-2 - Cost to run: none named - Data it reaches: the prompts you type ## On Hugging Face, 13 November 2026 - Likes: 390 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/Nymbo/Serverless-ImgGen-Hub - Files: https://huggingface.co/spaces/Nymbo/Serverless-ImgGen-Hub/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 [Nymbo/Serverless-ImgGen-Hub on Hugging Face](https://huggingface.co/spaces/Nymbo/Serverless-ImgGen-Hub) ## 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 | | --- | --- | --- | --- | --- | | Serverless ImgGen Hub (this page) | 390 | gradio | apache-2.0 | 2026-10-02 | | [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: 2026-10-02 - First published: 2024-11-26 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Nymbo/Serverless-ImgGen-Hub on Hugging Face](https://huggingface.co/spaces/Nymbo/Serverless-ImgGen-Hub) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/19bc9ea9-0c08-4a11-972d-887bdecf38da) - [Its page on Mindket](https://mindket.com/p/19bc9ea9-0c08-4a11-972d-887bdecf38da)