DIFFUSION.MUSCLE transforms real-time strength training data through an automated pipeline that converts physical exertion into electric storm clouds.
Pipeline: Python (via claude code) to continuously pull workout data from Google Sheets, the system reads MET values (Metabolic Equivalent of Task - where 1 MET = sitting at rest) and translates exercise intensity into plasma ball visualizations that feed directly into a comfy ui workflow.
Low MET exercises (1.0-3.5) like planks generate gentle blue arcs triggering calm atmospheric renders, while peak intensity lifts (9.0+ METs) unleash chaotic white-hot plasma discharge that commands violent storm generation. As the metabolic energy depletes, both plasma arcs and storm systems gradually lose power and dissipate until the next exercise feeds fresh data into the system.