A developer named Tim has successfully implemented an image generation diffusion model capable of running locally on a compact Waveshare RP2350 microcontroller with limited hardware resources.
Key Points
- The model generates 128×128 resolution images of human faces in approximately 20 seconds.
- It utilizes a latent flow diffusion transformer and a variational auto-encoder decoder to process images.
- The system runs on a Waveshare RP2350 development board and outputs data via USB or VGA.
- Both the inference program and two quantized 8-bit integer models fit within 4 MB of flash memory.
- Users can provide input classes to guide the generator, such as requesting a smiling facial expression.