Mindket

FLUX.1 Kontext

Newversion 1 · updated

Overview

Edits pictures with the FLUX.1 Kontext dev model in a browser demo, with three example images included. It suits designers and image makers who want to try AI image editing without a local setup.

FLUX.1 Kontext is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • Python and pip
  • A GPU able to run the FLUX.1 Kontext dev model
Runs in
  • A browser: open the Space's page on Hugging Face and nothing needs installing.
  • Windows, macOS or Linux: run your own copy with Python and a capable GPU.
Start with
pip install -U huggingface_hub
hf download black-forest-labs/FLUX.1-Kontext-Dev --repo-type space --local-dir FLUX.1-Kontext-Dev
cd FLUX.1-Kontext-Dev

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

This Space is an image editing demo that runs the FLUX.1 Kontext dev model from black-forest-labs. The repository holds three example pictures, a cat, flowers and a monster, plus two optimization files. It runs on zero-a10g hardware at Hugging Face and is tagged MCP.

Who it suits

It suits people who edit or make images and want to try Kontext editing in a browser, and developers who want to read a small Gradio app around a large image model.

IndustryWho uses itHow they use itExample
DesignGraphic designersTry AI edits on a pictureOpen an example picture and run an edit on it
Content creationCreators and marketersChange a picture for a postEdit a product photo for a social post
AI developmentDevelopersStudy a demo of an image editing modelRead app.py and optimization.py

You can skip it if you need a written guide, since the source says only that it is image editing on FLUX dev.

Where to use it

You can use it in these places:

  • A browser: open the Space's page on Hugging Face and nothing needs installing.
  • Windows, macOS or Linux: run your own copy with Python and a capable GPU.
Use caseWhoWhat they get back
Image editingDesigners and creatorsAn edited version of your picture
Trying examplesBeginnersResults on the three example pictures

How to set it up

You need these first for a local copy:

  • Python and pip
  • A GPU able to run the FLUX.1 Kontext dev model

The online page needs none of this. For your own copy, follow the steps below.

  1. Install the Hugging Face tools.
  2. Download the Space's files into a folder.
  3. Move into that folder.
  4. Install Gradio at the version the Space uses, then the other packages.
  5. Start the app.
pip install -U huggingface_hub
hf download black-forest-labs/FLUX.1-Kontext-Dev --repo-type space --local-dir FLUX.1-Kontext-Dev
cd FLUX.1-Kontext-Dev
pip install gradio==5.34.0
pip install -r requirements.txt
python app.py

How to use it

Open the Space in a browser, or start your own copy with the command below. Then load a picture, or use one of the examples, and run the edit.

python app.py

Example

You open the Space, take one of the example pictures and run an edit on it. The page returns an edited version of that picture.

For newcomers and experts

If you are new to this, start with one of the three example pictures. See what the edit changes before you upload a picture of your own.

If you know the field, the Space wraps the FLUX.1 Kontext dev model and keeps its speed work in optimization.py and optimization_utils.py. The source says nothing more about the settings, so read those files for details.

  1. Open the Space
  2. Load a picture or pick an example
  3. Run the edit
  4. The model returns the edited picture

Good to know

The source gives one line of description, so this page rests on the repository files and Hugging Face's own record.

  • License: mit
  • Cost to run: none named
  • Data it reaches: the pictures you load, and model files downloaded from Hugging Face

README and files

README

FLUX.1 Kontext

Edits pictures with the FLUX.1 Kontext dev model in a browser demo, with three example images included. It suits designers and image makers who want to try AI image editing without a local setup.

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: This Space is an image editing demo that runs the FLUX.1 Kontext dev model from black-forest-labs. The repository holds three example pictures, a cat, flowers and a monster, plus two optimization files. It runs on zero-a10g hardware at Hugging Face and is tagged MCP.

Who it suits: It suits people who edit or make images and want to try Kontext editing in a browser, and developers who want to read a small Gradio app around a large image model.

Industry | Who uses it | How they use it | Example
Design | Graphic designers | Try AI edits on a picture | Open an example picture and run an edit on it
Content creation | Creators and marketers | Change a picture for a post | Edit a product photo for a social post
AI development | Developers | Study a demo of an image editing model | Read app.py and optimization.py

You can skip it if you need a written guide, since the source says only that it is image editing on FLUX dev.

Where to use it: You can use it in these places:

  • A browser: open the Space's page on Hugging Face and nothing needs installing.
  • Windows, macOS or Linux: run your own copy with Python and a capable GPU.
Use case | Who | What they get back
Image editing | Designers and creators | An edited version of your picture
Trying examples | Beginners | Results on the three example pictures

How to set it up: You need these first for a local copy:

  • Python and pip
  • A GPU able to run the FLUX.1 Kontext dev model

The online page needs none of this. For your own copy, follow the steps below.

  1. Install the Hugging Face tools.
  2. Download the Space's files into a folder.
  3. Move into that folder.
  4. Install Gradio at the version the Space uses, then the other packages.
  5. Start the app.
pip install -U huggingface_hub
hf download black-forest-labs/FLUX.1-Kontext-Dev --repo-type space --local-dir FLUX.1-Kontext-Dev
cd FLUX.1-Kontext-Dev
pip install gradio==5.34.0
pip install -r requirements.txt
python app.py

How to use it: Open the Space in a browser, or start your own copy with the command below. Then load a picture, or use one of the examples, and run the edit.

python app.py

Example: You open the Space, take one of the example pictures and run an edit on it. The page returns an edited version of that picture.

For newcomers and experts: If you are new to this, start with one of the three example pictures. See what the edit changes before you upload a picture of your own.

If you know the field, the Space wraps the FLUX.1 Kontext dev model and keeps its speed work in optimization.py and optimization_utils.py. The source says nothing more about the settings, so read those files for details.

Open the Space
Load a picture or pick an example
Run the edit
The model returns the edited picture

Good to know: The source gives one line of description, so this page rests on the repository files and Hugging Face's own record.

  • License: mit
  • Cost to run: none named
  • Data it reaches: the pictures you load, and model files downloaded from Hugging Face

On Hugging Face, 13 November 2026

  • Likes: 1,661
  • Built with: gradio
  • License: mit

Links

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.

Files
README.md  4 KB

1 file, 4 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

Compare with similar

Listed Hugging Face Spaces in the same category that share the most tags with this one.

ProductLikesBuilt withLicenseLast change
FLUX.1 Kontext This page1,661gradiomit
Background RemovalShares mcp-server · gradio2,988gradiomit
Diffusers Image OutpaintShares mcp-server · gradio2,565gradioapache-2.0
Chatterbox Turbo DemoShares mcp-server · gradio541gradiomit
WAN2.2 I2V LIGHTNING-Video-4-8stepShares mcp-server · gradio425gradioapache-2.0
Z ImageShares mcp-server · gradio187gradioapache-2.0
Numbers as Mindket last read them, on 2026-11-12.

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