Z Image Turbo

Z Image Turbo

A Gradio demo from Tongyi-MAI for its Z-Image-Turbo image model, tagged for MCP, with a prompt check and a safety checker model in its files. It suits designers and developers who want to try AI image generation.

Made by Tongyi-MAI 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: Z Image Turbo is Tongyi-MAI's Gradio demo for its Z-Image-Turbo model. The Space names Z-Image, Z-Image-Turbo and the CompVis stable-diffusion safety checker. Its page carries an MCP tag, and the repository holds a prompt check script.

Who it suits: Designers, content creators and developers who want to try Tongyi-MAI's image model in a browser. It also suits developers curious about how the demo checks prompts and images.

Title: Who tries the Z Image Turbo demo
Industry | Who uses it | How they use it | Example
Design | Designers | Try an AI image demo from a research lab | Run a prompt and look at the picture
Content | Creators | Explore what the model can produce | Test several prompts in a row
Software | Developers | Read the demo code and its prompt check | Open prompt_check.py to see how prompts are screened
AI tooling | MCP users | Look at a Space that is tagged for MCP | Check how the Space is listed

If you need documentation of the model's settings or limits, you can skip it, since the Space page gives only a configuration note.

Where to use it:

• A web browser: the Space runs on Hugging Face with nothing to install
• Windows, macOS or Linux with Python, from a local copy

Use case | Who | What they get back
Try the model quickly | Anyone | A working demo in a browser tab
Run your own copy | Developers | The same app served from your machine
Study the safety checks | Developers | A prompt check script and a safety checker model to read

How to set it up: Using the Space online needs nothing. A local copy needs Python and the packages the repository lists. The Space runs on ZeroGPU at Hugging Face, so a local copy may need a capable GPU.

• Python with pip
• The Python packages in requirements.txt

1. Install the Hugging Face hub package and download the Space into a folder.
2. Move into that folder.
3. Install Gradio 6.0.1, then the packages from requirements.txt.
4. Start the app with Python.

pip install -U huggingface_hub
hf download Tongyi-MAI/Z-Image-Turbo --repo-type space --local-dir Z-Image-Turbo
cd Z-Image-Turbo
pip install gradio==6.0.1
pip install -r requirements.txt
python app.py

How to use it: Open the Space in your browser, or start the local copy with the command below and open the page Gradio serves. The source lists no further steps, so use the controls the page shows.

python app.py

Example: You open the Space, write a short description of a picture and run it. The app passes your text through its prompt check and shows the image it makes.

For newcomers and experts: If you are new to this, open the Space and try one short prompt. Change a few words and compare the new picture with the first.

If you know the field, the Space names the Z-Image and Z-Image-Turbo repositories, a zerogpu-aoti build of Z-Image and the CompVis safety checker. The repository is small: an app file, a prompt check file, a prompt enhancement file and a placeholder image. Beyond those names, the source does not describe how the parts connect.

You write a prompt
The prompt check screens it
The Z-Image-Turbo model runs
The image appears in the page

Good to know:

• Hardware: the Space runs on zero-a10g at Hugging Face
• Safety parts: a safety checker model and a prompt check script are in the Space
• License: apache-2
• Cost to run: none named

On Hugging Face, 13 November 2026

• Likes: 1,940
• Built with: gradio
• License: apache-2.0

Links

• Space: https://huggingface.co/spaces/Tongyi-MAI/Z-Image-Turbo
• Files: https://huggingface.co/spaces/Tongyi-MAI/Z-Image-Turbo/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.