FaceHarmony Case Study
Revolutionizing AI Portrait Generation with Advanced SDXL Technology
The Challenge
The AI portrait generation market faced significant challenges:
- Limited photo generation capabilities with poor customization options
- Inconsistent quality of AI-generated images across different styles
- Poor subject resemblance and identity preservation in generated images
- Users paying for unsatisfactory results without quality guarantee
Our Solution
- Personalized AI model creation from user photos with advanced FLUX and SDXL technology
- Model fine-tuning completed in under 2 hours
- Fair token-based payment system - pay only for favorite photos
- High-volume generation capacity of up to 40 unique photos daily
Technical Infrastructure
Google Cloud Run
Hosts our FastAPI backend server for seamless communication with Firebase
Google Cloud Storage
Stores user photos, trained models, and generated images securely
Google Cloud Scheduler
Manages automated model fine-tuning processes on GPU instances
Google Cloud Pub/Sub
Handles scalable photo generation queue management
Google Batch
Processes model training jobs with NVIDIA GPUs
Firebase Database
Stores user data and enables direct client-side data access
Firebase Auth
Secures all endpoints with user authentication
Firebase Functions
Handles serverless operations for notifications and data processing
Firebase App Check
Prevents API abuse and ensures secure access
Firebase Analytics
Tracks user engagement and app performance metrics
Amazon SES
Manages email notifications and user communications
NVIDIA GPU Processing
Powers rapid model fine-tuning and image generation
Available Styles
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