Mindket

GPT SoVITS V2 Pro Plus

Newversion 1 · updated

Overview

Speaks any text you type in a voice guided by a 3 to 10 second reference recording, in a zero-shot text-to-speech Gradio demo.

GPT SoVITS V2 Pro Plus 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 3.12 and pip on Windows, macOS or Linux
  • The Python packages in requirements.txt
  • The system packages in packages.txt, which Hugging Face installs with apt-get
  • Gradio 5.34.0, the version the Space uses
Runs in
  • A browser, by visiting the Space on Hugging Face
  • A computer of your own that runs Windows, macOS or Linux and has Python 3.12
  • A local Gradio page, once inference_webui.py is running
Start with
pip install -U huggingface_hub
hf download lj1995/GPT-SoVITS-ProPlus --repo-type space --local-dir GPT-SoVITS-ProPlus
cd GPT-SoVITS-ProPlus

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

GPT SoVITS V2 Pro Plus is a zero-shot text-to-speech demo built with Gradio. You give it a reference recording of about 3 to 10 seconds, and the voice in the result follows that recording's tone, speed and emotion. Then you type the text you want spoken. It runs on GPU hardware at Hugging Face.

Who it suits

People who want to hear their text spoken in a voice that matches a short sample, and developers who study voice synthesis.

IndustryWho uses itHow they use itExample
MediaVideo and audio creatorsVoice a script in a chosen styleRecord a short sample and type the script
SoftwareDevelopers of voice appsTest zero-shot synthesisRun inference_webui.py
EducationLanguage learnersHear a text read with a chosen toneUse a calm sample for a reading
ResearchSpeech researchersStudy a GPT-SoVITS setupRead the AR and module folders

People who need a studio-grade voice product can skip it, since this is a demo.

Where to use it

  • A browser, by visiting the Space on Hugging Face
  • A computer of your own that runs Windows, macOS or Linux and has Python 3.12
  • A local Gradio page, once inference_webui.py is running
Use caseWhoWhat they get back
Clone a voice styleCreatorsSpeech in the tone of your sample
Speak a textAnyoneAudio of the text you typed

How to set it up

  • Python 3.12 and pip on Windows, macOS or Linux
  • The Python packages in requirements.txt
  • The system packages in packages.txt, which Hugging Face installs with apt-get
  • Gradio 5.34.0, the version the Space uses
  • A GPU, since the Space is set to zero-a10g
  1. Install the Hugging Face hub package.
  2. Download the Space with the hf command.
  3. Move into the new folder.
  4. Install gradio at the version the Space uses, then the listed packages.
  5. Start the web interface with Python.
pip install -U huggingface_hub
hf download lj1995/GPT-SoVITS-ProPlus --repo-type space --local-dir GPT-SoVITS-ProPlus
cd GPT-SoVITS-ProPlus
pip install gradio==5.34.0
pip install -r requirements.txt
python inference_webui.py

How to use it

Online, visit the Space on Hugging Face, add a reference recording of 3 to 10 seconds, type the text and generate the speech. On your own computer, run the last command below and open the local page Gradio serves.

python inference_webui.py
ToolWhat it does
inference_webui.pyStarts the Gradio interface
requirements.txtLists the Python packages to install
packages.txtLists the system packages to install
configsHolds configuration files

Example

You add a short, clear recording of a voice as the reference and type a sentence. The demo speaks the sentence with a tone and pace that follow the reference.

For newcomers and experts

If you are new, use a clean recording of about five seconds and a short sentence. Zero-shot means no training on your voice is needed first.

If you know the field, the Space names lj1995/GPT-SoVITS and google-bert/bert-base-chinese as models. The repository has folders for AR, modules, text handling and feature extraction, plus a speaker verification file. The trade-off is a GPU requirement and a reference clip that must fit the 3 to 10 second window.

  1. You add a 3 to 10 second reference
  2. You type the text to speak
  3. The models match the voice style
  4. You play the generated speech

Good to know

  • Reference: a recording of about 3 to 10 seconds is expected
  • Hardware: the Space is set to zero-a10g
  • License: mit
  • Cost to run: GPU hardware, no API key or paid service is named
  • Data it reaches: the recordings and text you give it, plus the models it fetches from Hugging Face

README and files

README

GPT SoVITS V2 Pro Plus

Speaks any text you type in a voice guided by a 3 to 10 second reference recording, in a zero-shot text-to-speech Gradio demo.

Made by lj1995 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: GPT SoVITS V2 Pro Plus is a zero-shot text-to-speech demo built with Gradio. You give it a reference recording of about 3 to 10 seconds, and the voice in the result follows that recording's tone, speed and emotion. Then you type the text you want spoken. It runs on GPU hardware at Hugging Face.

Who it suits: People who want to hear their text spoken in a voice that matches a short sample, and developers who study voice synthesis.

Industry | Who uses it | How they use it | Example
Media | Video and audio creators | Voice a script in a chosen style | Record a short sample and type the script
Software | Developers of voice apps | Test zero-shot synthesis | Run inference_webui.py
Education | Language learners | Hear a text read with a chosen tone | Use a calm sample for a reading
Research | Speech researchers | Study a GPT-SoVITS setup | Read the AR and module folders

People who need a studio-grade voice product can skip it, since this is a demo.

Where to use it:

  • A browser, by visiting the Space on Hugging Face
  • A computer of your own that runs Windows, macOS or Linux and has Python 3.12
  • A local Gradio page, once inference_webui.py is running
Use case | Who | What they get back
Clone a voice style | Creators | Speech in the tone of your sample
Speak a text | Anyone | Audio of the text you typed

How to set it up:

  • Python 3.12 and pip on Windows, macOS or Linux
  • The Python packages in requirements.txt
  • The system packages in packages.txt, which Hugging Face installs with apt-get
  • Gradio 5.34.0, the version the Space uses
  • A GPU, since the Space is set to zero-a10g
  1. Install the Hugging Face hub package.
  2. Download the Space with the hf command.
  3. Move into the new folder.
  4. Install gradio at the version the Space uses, then the listed packages.
  5. Start the web interface with Python.
pip install -U huggingface_hub
hf download lj1995/GPT-SoVITS-ProPlus --repo-type space --local-dir GPT-SoVITS-ProPlus
cd GPT-SoVITS-ProPlus
pip install gradio==5.34.0
pip install -r requirements.txt
python inference_webui.py

How to use it: Online, visit the Space on Hugging Face, add a reference recording of 3 to 10 seconds, type the text and generate the speech. On your own computer, run the last command below and open the local page Gradio serves.

python inference_webui.py
Tool | What it does
inference_webui.py | Starts the Gradio interface
requirements.txt | Lists the Python packages to install
packages.txt | Lists the system packages to install
configs | Holds configuration files

Example: You add a short, clear recording of a voice as the reference and type a sentence. The demo speaks the sentence with a tone and pace that follow the reference.

For newcomers and experts: If you are new, use a clean recording of about five seconds and a short sentence. Zero-shot means no training on your voice is needed first.

If you know the field, the Space names lj1995/GPT-SoVITS and google-bert/bert-base-chinese as models. The repository has folders for AR, modules, text handling and feature extraction, plus a speaker verification file. The trade-off is a GPU requirement and a reference clip that must fit the 3 to 10 second window.

You add a 3 to 10 second reference
You type the text to speak
The models match the voice style
You play the generated speech

Good to know:

  • Reference: a recording of about 3 to 10 seconds is expected
  • Hardware: the Space is set to zero-a10g
  • License: mit
  • Cost to run: GPU hardware, no API key or paid service is named
  • Data it reaches: the recordings and text you give it, plus the models it fetches from Hugging Face

On Hugging Face, 13 November 2026

  • Likes: 257
  • 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

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GPT SoVITS V2 Pro Plus This page257gradiomit
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Numbers as Mindket last read them, on 2026-11-12.

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