GPU Support

ImageUpscaler - The Easiest Way to Enhance Your Photos! 🚀

GPU Speed Boost

Overview

GPU Speed Boost utilizes your computer's graphics card to dramatically increase processing speed. This feature is especially useful when processing large images or batches of photos.

Features

• CUDA acceleration
• Batch processing optimization
• Memory management
• Mixed precision processing
• cuDNN benchmarking

Requirements

• NVIDIA GPU with CUDA support
• Latest NVIDIA drivers
• CUDA toolkit installed

Usage

imageUpscaler process --input my_photos --output enhanced_photos --config config.json

Configuration

{
    "gpu_settings": {
        "enabled": true,
        "batch_size": 4,
        "memory_limit": 0.8,
        "optimization_level": "high",
        "mixed_precision": true,
        "cudnn_benchmark": true,
        "clear_cache_after_batch": true
    }
}

Performance Tips

• Adjust batch_size based on your GPU memory
• Set memory_limit to 0.8 for optimal performance
• Enable mixed_precision for faster processing
• Use clear_cache_after_batch for large batches