Building a Real-Time Face Swap Pipeline in Rust with ONNX Runtime

📰 Dev.to · dd

Learn to build a real-time face swap pipeline in Rust using ONNX Runtime for efficient machine learning model deployment

advanced Published 12 Apr 2026
Action Steps
  1. Install Rust and ONNX Runtime on your system
  2. Use ONNX Runtime to optimize and deploy a face swap model
  3. Implement the face swap pipeline in Rust using the optimized model
  4. Test and refine the pipeline for real-time performance
  5. Deploy the pipeline in a production environment using Docker or Kubernetes
Who Needs to Know This

Machine learning engineers and Rust developers can benefit from this tutorial to improve their skills in deploying ML models for real-time applications

Key Insight

💡 ONNX Runtime enables efficient deployment of machine learning models in Rust for real-time applications

Share This
Build a real-time face swap pipeline in Rust with ONNX Runtime!
Read full article → ← Back to Reads