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Image & Video AI

AI Influencer Generator

AI Influencer Generator is an open-source, notebook-based application for creating virtual influencer content. Its described workflow generates character images with Stable Diffusion, converts scripts to speech with gTTS, and animates images into lip-synced videos with SadTalker; OpenAI GPT is listed for prompt generation.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

AI Influencer 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 notebook workflow that brings together character-image generation, script-to-speech, and lip-sync animation for virtual presenter content.

Who it is for

  • Creators making social-media content with a recurring virtual character.
  • Teams developing virtual brand representatives or product presenters.
  • Educators and creators preparing AI presenter or tutor videos.

Documented uses

  • Create a virtual character image and maintain its appearance across content with similar prompts.
  • Convert a written script into a voiceover.
  • Animate an image into a talking-head video with lip sync.
  • Download generated media for a separate publishing workflow.
Before you choose

Requirements & limits

The repository is public and specifies an MIT license. The README describes Google Colab and local notebook setup routes.

  • The documented components are Stable Diffusion, gTTS, SadTalker, and OpenAI GPT.
  • The README says no paid APIs are required for core functionality.
  • Character consistency is supported through similar prompts; the README also recommends clear scripts, good lighting, and higher-resolution images for better results.
  • Replacing Stable Diffusion or gTTS with another model or speech system is marked Experimental because the README does not document those integrations.

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 notebook in Google Colab

Open the project notebook, follow its cells, customize an influencer, and download generated content.

Before you start

  • Access to Google Colab
  • The project's linked AI_Influencer.ipynb notebook

Steps

  1. Open the notebook through the project’s Colab link.

  2. Run the notebook cells sequentially.

  3. Customize the AI influencer.

  4. Download the generated content.

Expected outcome

The project describes this route for generating and downloading customized influencer content.

Guide limitations

  • The README does not specify resource requirements or guarantee that the workflow will run in a particular environment.
Documentation 1 ↗
Source-based practical guide

Prepare a local notebook setup

Install the project dependencies and open its Jupyter notebook locally.

Before you start

  • A local environment with Git, pip, and Jupyter available

Steps

  1. Clone the project repository.

  2. Change into the AI-Influencer-Generator directory.

  3. Install dependencies from requirements.txt with pip.

  4. Open AI_Influencer.ipynb with Jupyter.

Expected outcome

The notebook is opened in a local Jupyter environment, ready for its documented workflow.

Guide limitations

  • The README does not specify hardware requirements or guarantee compatibility with a particular local environment.
Documentation 1 ↗
Evidence and transparency

Sources & review

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