Developer Guide
Run VIRTU in Your Local Studio
Follow the sequential phases below to spin up the FastAPI neural backend and the Next.js client workspace on your machine.
Hardware RecommendationsAn NVIDIA GPU with at least 8GB VRAM (CUDA 11.8+) is strongly recommended for sub-3-second local inference. CPU mode fallback is supported via PyTorch, but yields longer processing times.
Required RuntimesEnsure Python 3.10+ and Node.js 18+ (with pnpm or npm) are available in your system path.
Terminal / Shell
# Verify system runtimes
python3 --version # Expected: Python 3.10.x or higher
node --version # Expected: v18.x.x or higher
nvidia-smi # Optional: Check CUDA driver compatibilityNeed assistance or want to test the hosted demo first?
System Architecture
Secure AI infrastructure for virtual try-on
VIRTU utilizes a robust server-side pipeline to ensure privacy and performance. From automated image preprocessing to ephemeral storage, our architecture is built for speed and security.
SECURE INFERENCE
Server-Side Processing
AI Inference Isolation
Runs expensive neural synthesis in isolated GPU containers, ensuring no API keys or sensitive model weights are ever exposed to the client-side browser environment.
- Isolated container execution
- No client-side API exposure
- Optimized model throughput
Benchmark:Low-Latency GPU
INF-SHA256: 4f9e…38b1
Proof
PIXEL-LEVEL MAPPING
OpenCV/Pillow Pipeline
Image Preprocessing
Automated pipeline detects body pose, garment boundaries, and lighting conditions using OpenCV and Pillow to ensure precise, realistic textile fitting.
- Automated pose detection
- Garment boundary masking
- Lighting/shadow alignment
Benchmark:99.9% Detection
IMG-SHA256: 8a1c…e72d
Proof
AUTO-PURGE ENABLED
Data Lifecycle
Ephemeral Object Storage
Temporary storage for uploaded photos and generated results. Files are automatically purged from the server immediately after the session ends.
- Ephemeral session storage
- Automatic file deletion
- No long-term retention
Benchmark:Zero-Trace Policy
STO-SHA256: 2c7b…990f
Proof
ABUSE PREVENTION
Abuse Prevention
Safety & Moderation
Strict moderation middleware blocks non-consensual edits, nudity, and content involving minors, ensuring a safe and compliant user experience.
- Content moderation filters
- Rate limiting middleware
- Non-consensual edit block
Benchmark:ISO/GDPR Compliant
SAF-SHA256: d311…7a4b
Proof
IMMUTABLE AUDIT LOG
Data Governance
Cryptographic Attestation
Maintains an immutable audit manifest for all processing tasks, ensuring transparency and compliance with ethical AI usage standards.
- Cryptographic manifest logs
- Tamper-evident verification
- Non-repudiation audit trail
Benchmark:Tamper-Evident
AUD-SHA256: 9e03…12c8
Proof
Deployment Ready
Scalable AI infrastructure
Deploy our virtual try-on engine as a scalable API or run it locally within your own secure infrastructure.
REST API Endpoints
Local container support