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well9472 · Kit
Makes illustrations from text prompts with a small 670M-parameter diffusion model, run through ComfyUI. Built as a low-budget research model for people who wan…
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.
pip install -U huggingface_hub hf download lj1995/GPT-SoVITS-ProPlus --repo-type space --local-dir GPT-SoVITS-ProPlus cd GPT-SoVITS-ProPlus
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.
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.
| 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 |
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
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 |
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.
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.
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.
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:
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:
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:
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.
README.md 4 KB
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