Mindket

FLUX.2 Klein LoRA Studio

Newversion 1 · updated

Overview

Try a set of LoRAs for the FLUX.2 Klein image model in a Gradio app that runs in your browser or on your own computer. Made for people who make or test AI images.

FLUX.2 Klein LoRA Studio is a kit in the Developer 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 on Windows, macOS or Linux
  • The pip command
  • Enough disk space for the models the app names
Runs in
  • A web browser, on the Space's page at Hugging Face
  • Windows, macOS or Linux with Python, as a copy on your own computer
  • Hugging Face's zero-a10g hardware, where the online Space runs
Start with
pip install -U huggingface_hub
hf download prithivMLmods/FLUX.2-Klein-LoRA-Studio --repo-type space --local-dir FLUX.2-Klein-LoRA-Studio
cd FLUX.2-Klein-LoRA-Studio

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

This Space is a demo page for a set of LoRAs that work with the FLUX.2 Klein image model. You try them from one Gradio app in your browser instead of setting each one up yourself.

The models it names are the FLUX.2 Klein 9B base and four add-ons. Their repository names point to face swap, consistency, delight and ghost mannequin looks.

Who it suits

It suits people who make or test AI images and want to compare LoRAs before running anything locally. Developers who build Gradio demos can also read how the app is put together.

IndustryWho uses itHow they use itExample
E-commerceOnline sellersTry the ghost mannequin LoRA on clothing picturesChecking how a garment photo could look without a model
DesignImage artistsSwitch between LoRAs on one pageComparing the delight LoRA with the plain base model
AI developmentDevelopersRead app.py and the file list to see how the demo is builtReusing the layout for their own LoRA demo
EducationStudentsOpen the page in a browser with nothing to installSeeing what a LoRA changes in a result

Skip it if you only need a plain text-to-image app, since this page is built around the LoRAs.

Where to use it

The app runs in these places.

  • A web browser, on the Space's page at Hugging Face
  • Windows, macOS or Linux with Python, as a copy on your own computer
  • Hugging Face's zero-a10g hardware, where the online Space runs
Use caseWhoWhat they get back
Try a LoRA without setupAnyone curiousA result in the browser page
Compare several LoRAsImage artistsOutputs to judge one against another
Study a LoRA demoDevelopersA Gradio app.py to read and copy

How to set it up

The online version needs only a browser. A copy on your own computer needs these.

  • Python on Windows, macOS or Linux
  • The pip command
  • Enough disk space for the models the app names
  1. Install the huggingface_hub package.
  2. Download the Space's files into a folder with the hf command.
  3. Move into that folder.
  4. Install gradio at version 6.30.0.
  5. Install the packages listed in requirements.txt.
  6. Start the app with python app.py.
pip install -U huggingface_hub
hf download prithivMLmods/FLUX.2-Klein-LoRA-Studio --repo-type space --local-dir FLUX.2-Klein-LoRA-Studio
cd FLUX.2-Klein-LoRA-Studio
pip install gradio==6.30.0
pip install -r requirements.txt
python app.py

How to use it

Open the Space's page, or start your local copy with the command below and open the page the app serves.

python app.py

Then pick one of the LoRAs the Space offers and run it. The result shows on the same page.

Example

You open the Space in a browser, choose the delight LoRA and run it on an image. The edited picture appears on the page, and you can switch to another LoRA and compare.

For newcomers and experts

If you are new, open the Space's page and try one LoRA first. A LoRA is a small add-on that changes how a larger image model behaves, so you can see its effect without installing anything.

If you know the field, the repository holds app.py, requirements.txt, pre-requirements.txt, an examples folder and an index.html. The app is built with Gradio 6.30.0 and runs online on zero-a10g hardware. It pulls the FLUX.2 Klein 9B base plus separate LoRA repositories, so a local copy needs those downloads too.

  1. Open the Space page or run app.py
  2. Pick a LoRA on the page
  3. The app applies it to FLUX.2 Klein 9B
  4. The result shows on the same page

Good to know

Hugging Face lists the Space with a Gradio tag and an MCP tag. It is a demo, so it shows the LoRAs and does not promise production use.

  • License: apache-2
  • Cost to run: none named
  • Data it reaches: only the model repositories it names. The source says nothing else.

README and files

README

FLUX.2 Klein LoRA Studio

Try a set of LoRAs for the FLUX.2 Klein image model in a Gradio app that runs in your browser or on your own computer. Made for people who make or test AI images.

Made by prithivMLmods 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 demo page for a set of LoRAs that work with the FLUX.2 Klein image model. You try them from one Gradio app in your browser instead of setting each one up yourself.

The models it names are the FLUX.2 Klein 9B base and four add-ons. Their repository names point to face swap, consistency, delight and ghost mannequin looks.

Who it suits: It suits people who make or test AI images and want to compare LoRAs before running anything locally. Developers who build Gradio demos can also read how the app is put together.

Industry | Who uses it | How they use it | Example
E-commerce | Online sellers | Try the ghost mannequin LoRA on clothing pictures | Checking how a garment photo could look without a model
Design | Image artists | Switch between LoRAs on one page | Comparing the delight LoRA with the plain base model
AI development | Developers | Read app.py and the file list to see how the demo is built | Reusing the layout for their own LoRA demo
Education | Students | Open the page in a browser with nothing to install | Seeing what a LoRA changes in a result

Skip it if you only need a plain text-to-image app, since this page is built around the LoRAs.

Where to use it: The app runs in these places.

  • A web browser, on the Space's page at Hugging Face
  • Windows, macOS or Linux with Python, as a copy on your own computer
  • Hugging Face's zero-a10g hardware, where the online Space runs
Use case | Who | What they get back
Try a LoRA without setup | Anyone curious | A result in the browser page
Compare several LoRAs | Image artists | Outputs to judge one against another
Study a LoRA demo | Developers | A Gradio app.py to read and copy

How to set it up: The online version needs only a browser. A copy on your own computer needs these.

  • Python on Windows, macOS or Linux
  • The pip command
  • Enough disk space for the models the app names
  1. Install the huggingface_hub package.
  2. Download the Space's files into a folder with the hf command.
  3. Move into that folder.
  4. Install gradio at version 6.30.0.
  5. Install the packages listed in requirements.txt.
  6. Start the app with python app.py.
pip install -U huggingface_hub
hf download prithivMLmods/FLUX.2-Klein-LoRA-Studio --repo-type space --local-dir FLUX.2-Klein-LoRA-Studio
cd FLUX.2-Klein-LoRA-Studio
pip install gradio==6.30.0
pip install -r requirements.txt
python app.py

How to use it: Open the Space's page, or start your local copy with the command below and open the page the app serves.

python app.py

Then pick one of the LoRAs the Space offers and run it. The result shows on the same page.

Example: You open the Space in a browser, choose the delight LoRA and run it on an image. The edited picture appears on the page, and you can switch to another LoRA and compare.

For newcomers and experts: If you are new, open the Space's page and try one LoRA first. A LoRA is a small add-on that changes how a larger image model behaves, so you can see its effect without installing anything.

If you know the field, the repository holds app.py, requirements.txt, pre-requirements.txt, an examples folder and an index.html. The app is built with Gradio 6.30.0 and runs online on zero-a10g hardware. It pulls the FLUX.2 Klein 9B base plus separate LoRA repositories, so a local copy needs those downloads too.

Open the Space page or run app.py
Pick a LoRA on the page
The app applies it to FLUX.2 Klein 9B
The result shows on the same page

Good to know: Hugging Face lists the Space with a Gradio tag and an MCP tag. It is a demo, so it shows the LoRAs and does not promise production use.

  • License: apache-2
  • Cost to run: none named
  • Data it reaches: only the model repositories it names. The source says nothing else.

On Hugging Face, 14 November 2026

  • Likes: 170
  • Built with: gradio
  • License: apache-2.0

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 · 2026-11-14

Compare with similar

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

ProductLikesBuilt withLicenseLast change
FLUX.2 Klein LoRA Studio This page170gradioapache-2.0
Z Image TurboShares mcp-server · gradio1,940gradioapache-2.0
TRELLISShares mcp-server · gradio817gradiomit
SAM3 DemoShares mcp-server · gradio91gradioapache-2.0
TRELLIS.2-Text-to-3D (Rerun)Shares mcp-server · gradio58gradioapache-2.0
Multi-Agent AI - CodingShares mcp-server · gradio39gradioapache-2.0
Numbers as Mindket last read them, from 2026-11-12 to 2026-11-14.

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