Accelerating SD Turbo and SDXL Turbo Inference with ONNX Runtime and Olive

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Accelerate SD Turbo and SDXL Turbo inference with ONNX Runtime and Olive for improved performance

advanced Published 15 Jan 2024
Action Steps
  1. Install ONNX Runtime and Olive
  2. Convert SD Turbo and SDXL Turbo models to ONNX format
  3. Run benchmark tests to compare performance
  4. Apply GPU optimizations for further improvements
Who Needs to Know This

Machine learning engineers and data scientists can benefit from this tutorial to optimize their model inference, while software engineers can apply the techniques to improve overall system performance

Key Insight

💡 ONNX Runtime and Olive can significantly improve the performance of SD Turbo and SDXL Turbo models

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🚀 Accelerate SD Turbo and SDXL Turbo inference with ONNX Runtime and Olive!
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