ZONOS3 Mini by mrfakename

ZONOS3 Mini by mrfakename

Turns text into speech in ten languages with the ZONOS3-Mini model, with 27 preset voices, voice cloning from a short clip, rate and loudness controls and mood steering.

Made by mrfakename 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 text to speech app built on the ZONOS3-Mini model from Zyphra. You choose from 27 ready voices or clone a voice from a brief recording, then pick one of ten languages and a mood. You can also set speaking rate, loudness and bandwidth.

Who it suits: People who need spoken audio from text, such as narration, prototypes or voice tests. Developers can read the repository to see how the model's runtime is wired into a Gradio page.

Industry | Who uses it | How they use it | Example
Content creation | Video and podcast makers | Turn a script into narration with a preset voice | Reading a short script aloud in one of the preset voices
Software | App developers | Try a text to speech model before building on it | Testing how a sentence sounds in a chosen language
Localization | Language teams | Hear text in several languages | Checking a line in a second language
Research | Speech researchers | Study cloning and mood steering on a small model | Comparing the same sentence with different moods

If you do not need generated speech, you can skip it.

Where to use it:

• A web browser, on the Space's page at Hugging Face
• Windows with Python 3.12
• macOS with Python 3.12
• Linux with Python 3.12

Use case | Who | What they get back
Read text aloud | Creators | Speech from a preset voice
Clone a voice | Users with permission to use that voice | Speech in a voice copied from a short clip
Steer the mood | Creators and researchers | Speech with a chosen mood

How to set it up: Online use needs nothing. A copy on your own computer needs a little.

• Python 3.12 on Windows, macOS or Linux
• The pip tool, to install the packages from requirements.txt
• System packages from packages.txt, which Hugging Face installs with apt-get
• Nothing at all if you use the Space online, since it runs in the browser

1. Install the Hugging Face hub package.
2. Download the Space's files into a local folder.
3. Move into that folder.
4. Install Gradio at the pinned version, then the packages from requirements.txt.
5. Start the app.

pip install -U huggingface_hub
hf download mrfakename/zonos3-mini --repo-type space --local-dir zonos3-mini
cd zonos3-mini
pip install gradio==6.30.0
pip install -r requirements.txt
python app.py

How to use it: Online, open the Space's page and use the app there. On your own computer, run this command from the project folder and open the page Gradio shows.

python app.py

Tool | What it does
Preset voices | 27 ready-made voices to speak your text
Voice cloning | Builds a voice from a brief recording and treats it as American English unless you pick another language
Languages | Ten languages to speak in
Rate, loudness and bandwidth | Conditioning settings for how the speech sounds
Mood steering | Shifts the mood of the voice, and works together with cloning

Example: You type a sentence, pick one of the preset voices and a language, and start the app. It hands back the sentence as spoken audio in that voice.

For newcomers and experts: If you are new to this, open the Space's page, type one short sentence and keep a preset voice. Nothing needs installing, and you hear the result at once.

If you know the field, the Space runs the official plain PyTorch runtime from the model's authors, copied into the repository. Its sound comes out of the KEEP-2 decoder head, the default in the authors' Python servers. The model card's quick start picks a different, multi-resolution head. Moods come from a steering bundle with the doses the authors recommend for the base model.

Type text and pick a voice and language
Optionally add a clip, a mood or settings
The ZONOS3-Mini runtime builds the audio
The KEEP-2 decoder head decodes it
You hear the speech

Good to know: The author also publishes a version that runs fully in the browser on WebGPU.

• License: Apache 2.0 for the weights and MIT for the runtime code, as the notes say, with the repository's LICENSE and NOTICE files listing included third-party parts
• Cost to run: none named, and the hosted copy uses zero-a10g hardware at Hugging Face
• Data it reaches: the text you type and any clip you give it for cloning. The Space names one model, Zyphra/ZONOS3-Mini
• Not for: cloning voices you do not have permission to use

On Hugging Face, 13 November 2026

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

Links

• Space: https://huggingface.co/spaces/mrfakename/zonos3-mini
• Files: https://huggingface.co/spaces/mrfakename/zonos3-mini/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.