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AI Faceless Video Generator

AI Faceless Video Generator is a Python and Jupyter Notebook workflow that uses OpenAI GPT to write a script, gTTS to create speech and SadTalker to animate a face image into a talking-face video.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

AI Faceless Video Generator — OpenViST project profile in Image & Video AI.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you want a code-accessible, notebook-based path from a topic to a narrated avatar video and can provide the listed model access and runtime requirements.

Who it is for

  • Developers building notebook-based AI video workflows
  • Creators producing narrated educational or short-form videos
  • Users prototyping custom-avatar presentation tools

Documented uses

  • Generate a video script from a topic
  • Convert the script into a voiceover
  • Animate a face image to match the generated audio
  • Assemble the stages into a talking-face video workflow
Before you choose

Requirements & limits

The repository is public and states an MIT License. The documented workflow requires an OpenAI API key; Google Colab and local notebook use are both described, with Python 3.8+ required for local installation.

  • The pipeline uses OpenAI GPT, gTTS and SadTalker as distinct stages.
  • Google Colab is the documented recommended route, while local use requires Python 3.8+ and dependency installation.
  • SadTalker GPU support is recommended.
  • The repository is Jupyter Notebook-based rather than presented as a standalone hosted editor.
  • Changing the voice provider is marked Likely compatible; changing the script-generation provider Requires modification.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up the workflow in Google Colab

Prepare the documented notebook workflow to create a video from a topic and avatar.

Before you start

  • Google Colab access
  • An OpenAI API key
  • A topic and avatar image
  • GPU support is recommended for SadTalker

Steps

  1. Open the project's Google Colab notebook.

  2. Run all cells.

  3. Enter a topic and avatar.

  4. Download the generated video.

Expected outcome

A downloaded talking-face video produced through the documented notebook workflow.

Guide limitations

  • The supplied instructions do not establish execution success or output quality.
  • GPU support is recommended for SadTalker rather than stated as mandatory.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
4 October 2026
Original website title
SamurAIGPT/AI-Faceless-Video-Generator · Official homepage title · retained in its source language
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