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aim

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low-latency real-time object detection and tracking pipeline built in Python, featuring zero-allocation preprocessing, optimized GDI-based screen capture, and GPU-accelerated inference via ONNX Runtime with TensorRT and CUDA backends. Designed for high-FPS, production-grade performance experimentation.

  • Updated Mar 25, 2026
  • Python

Transform AI image generation from random exploration into deliberate artistic navigation. This advanced KSampler replacement blends traditional noise with shader noise. Navigate latent space with intention using adjustable noise parameters, shape masks, and colors transformations.

  • Updated Mar 24, 2026
  • TypeScript

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