SadTalker

SadTalker

Runs a Gradio app built around the SadTalker models, in the browser or on your own computer. The source gives no description, so its inputs and results are only hinted at by the name and folders.

Made by vinthony 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: SadTalker is a Gradio app on Hugging Face Spaces, made by vinthony. It names two models, vinthony/SadTalker and vinthony/SadTalker-V002rc, and its repository holds checkpoints, docs and examples folders beside the app. The name suggests it makes a face talk, but the source never states what the app takes in or returns.

Who it suits: Developers and AI hobbyists who want to try this Space or read how a larger model demo is packaged. The table below shows rough fits, judged from the name and files only.

Industry | Who uses it | How they use it | Example
Software development | Python developers | Read app.py and the src folder to see how the models are called | Running a local copy to see how it behaves
AI research | Model hobbyists | Try the online page with the example files it ships | Checking the output on a bundled example
Education | Learners | Study how a Space bundles checkpoints, docs and examples | Reading the docs folder beside app.py

Anyone who needs a documented tool with stated limits can skip it. Do not use faces or voices you have no right to use.

Where to use it:

• A web browser, through the Space's page on Hugging Face
• Windows, macOS or Linux, as a local copy that needs Python

Use case | Who | What they get back
Try the app online | Anyone curious | A Gradio page in the browser, with nothing to install
Run a private copy | Developers | The same app on their own machine
Study the code | Learners | An app.py, a src folder, docs and examples to read

How to set it up:

• Python
• The pip command, to install packages
• System packages from packages.txt, which the Space installs with apt-get
• Enough disk space for the 193 files and the Python packages

1. Install the Hugging Face hub package.
2. Download the Space into a local folder named SadTalker.
3. Move into that folder.
4. Install Gradio at the version the Space uses.
5. Install the packages listed in requirements.txt.
6. Start the app.

pip install -U huggingface_hub
hf download vinthony/SadTalker --repo-type space --local-dir SadTalker
cd SadTalker
pip install gradio==5.29.1
pip install -r requirements.txt
python app.py

How to use it: Online, open the Space's page and work with the interface it shows. On your own computer, run this inside the SadTalker folder and follow what the app presents.

python app.py

Tool | What it does
app.py | The main file that starts the Gradio app
requirements.txt | Lists the Python packages the app needs
packages.txt | Lists the system packages the Space installs with apt-get
Dockerfile | Tells Docker how to build the Space
checkpoints | A folder in the repository, likely holding model files
examples | A folder in the repository, likely holding sample inputs

Example: You run the six setup commands on a machine with Python. The app starts and shows a Gradio page. The source does not say what the page asks for or returns, so a first run with the shipped examples is how you find out.

For newcomers and experts: If you are new, open the Space's page in a browser first. Nothing needs installing, and you can see what the page offers before you set anything up on your computer.

If you know the field, the app uses Gradio 5.29.1, with app.py as the entry point and a Dockerfile plus packages.txt for system packages. It names two SadTalker model repositories, so read their cards for size, limits and intended use before relying on any output.

Hugging Face builds the Dockerfile
System and Python packages install
Gradio serves app.py as a web page
You use the page's controls in a browser

Good to know:

• Documentation: the source gives no description, so every claim here comes from the name, file names and Hugging Face's own record
• License: mit
• Cost to run: none named
• Data it reaches: the source does not say, so check app.py to see what it reads and where it sends it
• Not for: the source names nothing it forbids, but use only faces and voices you have the right to use

On Hugging Face, 13 November 2026

• Likes: 1,435
• Built with: gradio
• License: mit

Links

• Space: https://huggingface.co/spaces/vinthony/SadTalker
• Files: https://huggingface.co/spaces/vinthony/SadTalker/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.