​​Speed Is All You Need: On-Device Acceleration of Large Diffu | Data Science by ODS.ai 🦜

​​Speed Is All You Need: On-Device Acceleration of Large Diffusion Models via GPU-Aware Optimizations

The rapid development of foundation models is revolutionizing the field of artificial intelligence, with large diffusion models gaining significant attention for their ability to generate photorealistic images and support various tasks. Deploying these models on-device brings numerous benefits, including lower server costs, offline functionality, and improved user privacy. However, with over 1 billion parameters, these models face challenges due to restricted computational and memory resources on devices.

Excitingly, researchers from Google have presented a series of implementation optimizations for large diffusion models that achieve the fastest reported inference latency to date (under 12 seconds for Stable Diffusion 1.4 without INT8 quantization for a 512 × 512 image with 20 iterations) on GPU-equipped mobile devices. These groundbreaking enhancements not only broaden the applicability of generative AI but also significantly improve the overall user experience across a wide range of devices, paving the way for even more innovative AI applications in the future.

Paper link: https://arxiv.org/abs/2304.11267

A detailed unofficial overview of the paper: https://andlukyane.com/blog/paper-review-siayn

#deeplearning #stablediffusion #inferenceoptimization