Serverless ImgGen Hub

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.

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.

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.

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

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.