Qwen Image Layered

Qwen Image Layered

A browser demo of the Qwen-Image-Layered model, made by the Qwen team. The model name points to working with images as layers. Suits designers and developers who want to try it without installing anything.

Made by Qwen 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 the official browser demo of the Qwen-Image-Layered model, published under the Qwen account on Hugging Face. The model name points to working with pictures as layers, though the README adds nothing beyond that name. It runs as a Gradio page on Hugging Face hardware.

Who it suits: It suits designers and image editors who want to try a new Qwen image model in the browser, and developers who want to read a short app built around it.

Industry | Who uses it | How they use it | Example
Design | Graphic designers | Try the model on their own pictures | Load a picture and see what the page returns
Software | Developers | Read the app file and requirements | Open app.py in the repository
Research | ML researchers | Look at how the model behaves in a demo | Compare results on a few images
Education | Students | See an image model run with nothing to install | Open the Space and try the sample files

You can skip it if you need documented features, since the README gives no usage notes.

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
Try the model online | Designers | A result from the model in your browser
Read the demo code | Developers | A short app file and a requirements list
Run your own copy | Tinkerers | The same app on your own computer

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 6.1.0 and the listed packages.
5. Start the app.

pip install -U huggingface_hub
hf download Qwen/Qwen-Image-Layered --repo-type space --local-dir Qwen-Image-Layered
cd Qwen-Image-Layered
pip install gradio==6.1.0
pip install -r requirements.txt
python app.py

How to use it: Start the app from its folder, or open the Space online. Add a picture, run the model and look at what comes back. Because the README is empty of notes, read the controls on the page and try one step at a time.

python app.py

Example: You add a picture and run the demo with its default settings. The page returns the model's result for that picture, and you can compare it with your original.

For newcomers and experts: If you are new to this, try the online page with one simple picture. Seeing a single result first helps you judge what the model is for.

If you know the field, the Space names just one model, Qwen-Image-Layered, and ships an app file, a requirements list and an assets folder. The hosted Space runs on Hugging Face's zero-a10g hardware, so read app.py for how the model is loaded and called.

You add a picture
The Gradio app passes it to the model
The Qwen-Image-Layered model runs
You see the result

Good to know: The README gives no usage notes, so the page and app.py hold the real details.

• License: apache-2
• Cost to run: none named
• Data it reaches: the pictures you give it

On Hugging Face, 13 November 2026

• Likes: 542
• Built with: gradio
• License: apache-2.0

Links

• Space: https://huggingface.co/spaces/Qwen/Qwen-Image-Layered
• Files: https://huggingface.co/spaces/Qwen/Qwen-Image-Layered/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.