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SamurAIGPT AI-Influencer-Generator

Create and customize your AI influencer open-source

Stars

302

Forks

83

Watchers: 302

Repository Radar Score

39 / 100

Growth

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Last observed: 2 weeks ago

Score breakdown

  • popularity 45
  • growth 0
  • activity 55
  • freshness 100
  • community 46

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AI Influencer Generator

Create and customize your own virtual AI influencer completely for free using open-source technologies.

Related Projects

Tutorial

Read the full guide: AI Influencer Automation to Earn $10K/Month

Demo

6eP3esPolPkRdnxMn04IJ_724dcc40-58b4-466e-96c6-56c10f611808.mp4

Features

  • AI Image Generation - Create unique influencer personas with Stable Diffusion
  • Text-to-Speech - Generate natural voiceovers with gTTS
  • Lip Sync Animation - Bring images to life with SadTalker
  • Consistent Characters - Maintain the same AI persona across content
  • Fully Open Source - No paid APIs required for core functionality

How It Works

Prompt → Stable Diffusion Image → gTTS Audio → SadTalker Video → AI Influencer Content
  1. Design Your Persona - Use AI to generate consistent character images
  2. Create Scripts - Write or generate content for your influencer
  3. Generate Voice - Convert scripts to speech with text-to-speech
  4. Animate - Use lip-sync technology to create talking videos
  5. Publish - Post content to social media platforms

Quick Start

Option 1: Google Colab (Recommended)

Open In Colab

  1. Open the notebook in Google Colab
  2. Run each cell sequentially
  3. Customize your AI influencer
  4. Download your generated content

Option 2: Local Setup

# Clone the repository
git clone https://github.com/SamurAIGPT/AI-Influencer-Generator.git
cd AI-Influencer-Generator

# Install dependencies
pip install -r requirements.txt

# Run the notebook
jupyter notebook AI_Influencer.ipynb

Tech Stack

Technology Purpose
Stable Diffusion AI image generation
gTTS Text-to-speech
SadTalker Lip-sync animation
OpenAI GPT Prompt generation

Use Cases

  • Social Media Content - Instagram, TikTok, YouTube
  • Brand Ambassadors - Create virtual product representatives
  • Educational Content - AI tutors and presenters
  • Entertainment - Virtual characters and personas

Tips for Success

  1. Consistency - Use similar prompts to maintain character appearance
  2. Quality Audio - Clear scripts produce better lip-sync results
  3. Lighting - Generated images with good lighting animate better
  4. Resolution - Higher resolution images produce better videos

Contributing

Contributions are welcome! Feel free to submit a Pull Request.

If you enjoy using AI Influencer, please give us a star to show your support!

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License

MIT License - see LICENSE for details.

Created: Feb 4, 2025

Last push: Aug 2, 2026

Default branch: main

Languages

Share of the codebase by language, based on repository metadata from the host.

  • Jupyter Notebook 100.0%

Repository Radar analysis

Deterministic insights derived from public metadata and our observations — not personal testing or reviews.

Why this repository is interesting

  • Listed in our discovery index with public GitHub metadata for analysis.

Who should use it

  • Developers working primarily with Jupyter Notebook
  • Teams exploring AI tooling, agents, or ML infrastructure
  • Platform and DevOps engineers
  • Frontend engineers comparing UI frameworks and tools
  • Backend engineers shipping APIs and product backends

Potential use cases

  • Reference or evaluate Jupyter Notebook open-source approaches in this domain
  • Prototype AI/agent workflows or study reference architectures
  • Evaluate automation, CI/CD, or infrastructure patterns

Strengths

  • README present in our index
  • Declared license: MIT License

Limitations / considerations

  • Insights are derived from public metadata and our observations — not a substitute for code review

What to watch

  • Radar Score is modest — dig into activity and docs before committing

Source: GitHub (public metadata) + Repository Radar analysis. We do not claim ownership of third-party repositories.

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