Github · GitHub Repository Radar
SamurAIGPT AI-Influencer-Generator
Create and customize your AI influencer open-source
Stars
302
Forks
83
Watchers: 302
Language
License: MIT License
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
Need help integrating this stack?
Our team builds with modern open-source stacks. Tell us what you are shipping.
Get a quote →Create and customize your own virtual AI influencer completely for free using open-source technologies.
- MuAPI — Unified API for image, video, and audio generation across hundreds of AI models. Explore the image and video playground and access keys.
- Free-AI-Social-Media-Scheduler — Schedule your AI influencer content across all social platforms automatically
- Open-AI-UGC — Generate AI UGC video ads with realistic AI actors
- Open-Generative-AI — Free open-source studio for 200+ AI image & video models
- ai-creator-academy — free curriculum teaching creators how to monetize AI influencer content
- AI-Youtube-Shorts-Generator — Generate YouTube Shorts automatically
- AI-Faceless-Video-Generator — Create talking face videos
- Text-To-Video-AI — Text to video generation
Read the full guide: AI Influencer Automation to Earn $10K/Month
6eP3esPolPkRdnxMn04IJ_724dcc40-58b4-466e-96c6-56c10f611808.mp4
- 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
Prompt → Stable Diffusion Image → gTTS Audio → SadTalker Video → AI Influencer Content
- Design Your Persona - Use AI to generate consistent character images
- Create Scripts - Write or generate content for your influencer
- Generate Voice - Convert scripts to speech with text-to-speech
- Animate - Use lip-sync technology to create talking videos
- Publish - Post content to social media platforms
- Open the notebook in Google Colab
- Run each cell sequentially
- Customize your AI influencer
- Download your generated content
# 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| Technology | Purpose |
|---|---|
| Stable Diffusion | AI image generation |
| gTTS | Text-to-speech |
| SadTalker | Lip-sync animation |
| OpenAI GPT | Prompt generation |
- Social Media Content - Instagram, TikTok, YouTube
- Brand Ambassadors - Create virtual product representatives
- Educational Content - AI tutors and presenters
- Entertainment - Virtual characters and personas
- Consistency - Use similar prompts to maintain character appearance
- Quality Audio - Clear scripts produce better lip-sync results
- Lighting - Generated images with good lighting animate better
- Resolution - Higher resolution images produce better videos
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!
MIT License - see LICENSE for details.
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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