klotz: microcontroller* + hacks*

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  1. This repository features a generative AI image generator designed to run on the RP2350 microcontroller (Raspberry Pi Pico 2). The model uses a latent flow diffusion transformer (DiT) architecture, similar to Flux, but scaled down significantly with only 1.7 or 2.9 million parameters—thousands of times smaller than typical local diffusion models. It can generate $128 times 128$ RGB images of human faces in approximately 5-20 seconds and supports conditional generation for five classes based on gender, smile, and neutral expressions.

    - The model architecture includes a VAE decoder and a DiT component.
    - Hardware output can be displayed via a VGA monitor or streamed over USB.
    - Includes an int8 pipeline involving calibration, distillation-QAT (Quantization-Aware Training), and folding.
    - Two variants are provided: a high-quality flagship model and a faster build version.
  2. The author explores the potential of running an AI agent framework on low-cost hardware by testing MimiClaw, an OpenClaw-inspired assistant, on an ESP32-S3 microcontroller. Unlike traditional AI setups, MimiClaw operates without Node.js or Linux, requiring the user to flash custom firmware using the ESP-IDF framework. The setup integrates with Telegram for interaction and utilizes Anthropic and Tavily APIs for intelligence and web searching. Despite the technical hurdles of installation and potential API costs, the project successfully demonstrates a functional, sandboxed, and low-power personal assistant capable of persistent memory and routine tracking.
  3. Open-source project showcasing a speech-to-text application on a low-cost CH32V003 microcontroller. The application reads audio from an analog microphone, identifies spoken digits 'zero' to 'nine', and logs the results over a serial link.
  4. AT90USB647
    2012-01-01 Tags: , , , by klotz

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