Almost three years ago, buoyed by the excitement of emerging AI, I set myself the challenge of implementing a Generative AI image model on a microcontroller. I got pretty far and prototyped a basic diffusion model and conditional VAE, but I never got around to implementing it on an actual microcontroller. Recently, I finally revisited the project and, success, implemented a Generative AI image model on a $1 RP2350 microcontroller, as used in the Raspberry Pi Pico 2. The model and inference code are less than 4 MB and run on the dual-core Cortex-M33 in 520 KB of RAM. Checkout the repo here. What does it do?
AI Image Generation on an RP2350 Microcontroller
Summary
Almost three years ago, buoyed by the excitement of emerging AI, I set myself the challenge of implementing a Generative AI image model on a microcontroller. I got pretty far and prototyped a basic diffusion model and c…
AI Image Generation on an RP2350 Microcontroller
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