FLUX.1 [dev]

FLUX.1 [dev]

Runs the FLUX.1 [dev] image model from Black Forest Labs in a Gradio page, on ZeroGPU hardware at Hugging Face. For anyone who wants to try it in a browser or copy the code.

Made by black-forest-labs 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: FLUX.1 [dev] is the Black Forest Labs Space for its FLUX.1 [dev] image model, built as a Gradio app. It runs on ZeroGPU hardware at Hugging Face, so you can try it in a browser without installing anything. The repository is small, with app.py, a helper file for live previews and requirements.txt.

Who it suits: It suits designers, creators and developers who want to try the FLUX.1 [dev] model and see how a hosted image demo is put together.

Industry | Who uses it | How they use it | Example
Design | Designers | Try the model for visual ideas | Open the Space and generate a first picture
Content creation | Creators | Make images without installing software | Run a few prompts in the browser
Software | Developers | Read how a Gradio app calls the model | Download the Space and read app.py

If you need a model that you can run offline with a tool of your own, you can skip it.

Where to use it:

• A web browser, on the Space's page on Hugging Face
• A local copy of the files, run with Python under Windows, macOS or Linux

Use case | Who | What they get back
Try the model | Designers and creators | Images made in the browser
Study the code | Developers | A short app.py and a live preview helper to read
Run your own copy | Developers | The same app on their own machine

How to set it up:

• A web browser, which is all the online page needs
• Python, for a local copy
• The Python packages listed in requirements.txt

1. Open the Space's page on Hugging Face to use it online. Nothing needs installing.
2. For a local copy, install the Hugging Face hub package and download the Space's files.
3. Move into the downloaded folder.
4. Install Gradio 5.25.2, then the packages from requirements.txt.
5. Start the app with python app.py.

pip install -U huggingface_hub
hf download black-forest-labs/FLUX.1-dev --repo-type space --local-dir FLUX.1-dev
cd FLUX.1-dev
pip install gradio==5.25.2
pip install -r requirements.txt
python app.py

How to use it: Open the page, or the one your local copy starts, and follow the controls the Gradio interface shows. The README gives no list of controls, so the page itself is the guide.

Example: Open the Space and write a short description of the picture you want. The page runs the FLUX.1 [dev] model and shows the image it makes.

For newcomers and experts: Open the Space page and try one short description first. Nothing needs installing, and you see what the model does before you decide to copy anything.

Besides FLUX.1-dev, the Space lists FLUX.2-dev from the same group and a model from madebyollin called taef1. A file called live_preview_helpers.py sits next to app.py. The README says nothing more, so how the models are used is something to read in app.py.

You write a description
app.py passes it to the model
The model generates an image
Gradio shows the result in the page

Good to know: The README is only a configuration header, so limits and settings are not documented.

• License: MIT, as listed for this Space
• Cost to run: none named, and the online copy runs on ZeroGPU hardware at Hugging Face
• Data it reaches: the descriptions you type and the models the Space lists

On Hugging Face, 13 November 2026

• Likes: 9,583
• Built with: gradio
• License: mit

Links

• Space: https://huggingface.co/spaces/black-forest-labs/FLUX.1-dev
• Files: https://huggingface.co/spaces/black-forest-labs/FLUX.1-dev/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.