LecturerClone is an AI-powered platform that enables educators to create personalized video lectures by uploading photos, scripts, and voice samples. Generate professional educational content that maintains your teaching presence while scaling to unlimited audiences.
🎯 Perfect for: University professors, online course creators, corporate trainers, and educational institutions
- One-Time Setup: Upload a single lecture video with script to train your personal AI model
- Intelligent Frame Processing: Automatic extraction and lecturer-focused cropping of training frames
- Voice Cloning: Extract and replicate your speaking style from the source video
- Script-to-Video Creation: Generate unlimited new content using only text scripts
- Professional Quality: HD output with lip-sync accuracy and smooth motion
- Multi-Generation Approach: Creates multiple versions and selects the best result
- Automated Quality Scoring: Evaluates face consistency, lip-sync accuracy, and visual quality
- Preview & Approval Workflow: Review generated content before finalizing
- Segmented Processing: Handles long-form content by breaking into manageable segments
- Drag-and-Drop Uploads: Intuitive file management for images, audio, and scripts
- Real-Time Progress Tracking: Live updates during video processing
- Batch Processing: Queue multiple videos for efficient workflow
- Template Library: Pre-built educational formats and styles
- Scalable Architecture: Built on FastAPI, React, and Kubernetes
- API Access: Integrate with existing educational platforms
- Multi-User Support: Team collaboration and institutional accounts
- Analytics Dashboard: Track usage, quality metrics, and performance
- Hardware: NVIDIA GPU (RTX 30 series or higher recommended)
- Software: Docker & Docker Compose
- Storage: 50GB+ free space for AI models
- Memory: 16GB+ RAM recommended
- Clone the repository
git clone https://github.com/michael-borck/lecture-clone.git
cd lecture-clone- Set up environment variables
cp .env.example .env
# Edit .env with your configuration- Download AI models (automated script)
./scripts/download-models.sh- Start the application
docker-compose up -d- Access the application
- Frontend: http://localhost:3000
- API Documentation: http://localhost:8000/docs
- ComfyUI Interface: http://localhost:8188
- Create an account at http://localhost:3000
- Upload your training video:
- Single lecture recording (10-30 minutes recommended)
- Matching script or transcript
- Ensure lecturer fills most of the frame for best results
- Wait for model training (1-2 hours for personalized AI models)
- Create new content:
- Write your script for new video
- Generate using your trained models
- Preview and download your content
Video Quality:
- Lecturer prominence: Ensure you fill 60-80% of the frame
- Good lighting: Even, front-facing illumination
- Stable camera: Minimal movement or shaking
- Clear audio: Minimal background noise
- Multiple poses: Natural gestures and head movements
Content Requirements:
- Duration: 10-30 minutes of speaking time
- Variety: Different expressions and gestures
- Consistent environment: Similar to desired output setting
- Matching script: Accurate transcript for audio alignment
LecturerClone uses a modular, scalable architecture:
React Frontend ↔ FastAPI Backend ↔ Celery Workers ↔ AI Pipeline (ComfyUI)
↕ ↕
PostgreSQL File Storage (S3)
↕
Redis Cache
Frontend Stack:
- React 18+ with TypeScript
- Tailwind CSS for styling
- TanStack Query for state management
- Real-time WebSocket updates
Backend Stack:
- FastAPI (Python 3.11+)
- PostgreSQL database
- Redis for caching and queuing
- Celery for background processing
AI Pipeline:
- ComfyUI: Model orchestration framework
- Llama 3: Script processing and scene generation
- Flux + LoRA: Personalized image generation from extracted frames
- F5-TTS: Voice cloning from video audio extraction
- WAN 2.1: Image-to-video generation
- LatentSync: Lip synchronization
- FILM/4xLSDIR: Quality enhancement and frame interpolation
- OpenCV/MediaPipe: Video preprocessing and lecturer detection
LecturerClone is designed as an internal university service to support faculty and educational staff:
- Unlimited video generation for academic staff
- Multiple quality attempts to ensure best results
- HD/4K output for professional lecture content
- Batch processing for course development
- Priority support through IT services
- Single Sign-On (SSO) integration with university systems
- Course management integration (Moodle, Canvas, Blackboard)
- Institutional storage with university data policies
- Access controls based on faculty roles and permissions
- Usage analytics for resource planning and optimization
- Backend development
cd backend
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
pip install -r requirements.txt
uvicorn app.main:app --reload- Frontend development
cd frontend
npm install
npm run dev- AI Pipeline setup
cd ai-pipeline
python setup_comfyui.py
# Follow ComfyUI installation guide# Backend tests
cd backend && pytest
# Frontend tests
cd frontend && npm test
# Integration tests
docker-compose -f docker-compose.test.yml upLecturerClone is built with responsible AI principles:
- User Consent: Explicit permission required for likeness usage
- Secure Storage: Encrypted file storage and processing
- GDPR Compliance: Right to deletion and data portability
- Educational Focus: Designed specifically for legitimate educational use
- Clear AI Labeling: All generated content marked as AI-created
- Usage Policies: Strict terms preventing misuse
- Consent Verification: Multi-step approval process
- Transparency: Open about AI limitations and capabilities
- ✅ Educational lectures and tutorials
- ✅ Corporate training materials
- ✅ Language learning content
- ❌ Misleading or deceptive content
- ❌ Unauthorized use of others' likeness
- ❌ Harmful or inappropriate material
We welcome contributions! Please see our Contributing Guide for details.
- AI Model Integration: Adding new models and improving quality
- User Experience: Frontend improvements and workflow optimization
- Performance: Scaling and optimization improvements
- Documentation: Guides, tutorials, and API documentation
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests if applicable
- Submit a pull request
- ✅ Core AI pipeline functional
- ✅ Web interface complete
- ✅ Quality control system implemented
- ✅ Docker deployment ready
- 🔄 Kubernetes production deployment (in progress)
- 🔄 Advanced analytics dashboard (coming soon)
- 🔄 Mobile app (planned)
- Q2 2025: Production deployment, mobile app
- Q3 2025: Advanced personalization, multi-language support
- Q4 2025: Real-time generation, VR integration
Like all AI systems, LecturerClone has limitations:
- Training video quality matters: Better source material yields better results
- Frame composition is critical: Lecturer should fill 60-80% of frame for optimal training
- Results vary: Quality depends on input video quality and script complexity
- Processing time: Initial training takes 1-2 hours, subsequent videos 10-30 minutes
- Cherry-picked examples: Marketing materials show best-case scenarios
- Hardware requirements: Significant GPU resources needed for optimal performance
- Educational focus: Designed for legitimate educational purposes
- Consent required: Only use your own likeness or with explicit permission
- Transparency: Always disclose when content is AI-generated
- Legal compliance: Follow local laws regarding AI-generated content
- Email: support@lecturerclone.com
- Documentation: docs.lecturerclone.com
- Status Page: status.lecturerclone.com
This project is licensed under the MIT License - see the LICENSE file for details.
LecturerClone builds upon amazing open-source technologies:
- ComfyUI - AI workflow framework
- Flux - Image generation
- F5-TTS - Text-to-speech synthesis
- LatentSync - Lip synchronization
- Original inspiration from MikeBot by Lewis Morton
Special thanks to the AI research community for making these technologies accessible and open-source.
Made with ❤️ for educators worldwide
Transform your teaching. Scale your impact. Your expertise, everywhere.