DEXTARA (robotics)

You don't need a studio. You don't need a label. You don't need permission.DEXTARA is the full technical blueprint for building a fully autonomous, locally-executed AI digital idol — running entirely on your own hardware, independent of any cloud API, any platform, any gatekeep.This document covers the complete four-pillar architecture:▸ PILLAR I — THE AUTONOMOUS LOCAL BRAINLocal LLM inference via llama-cpp-python + CUDA. Real-time sentiment-to-Live2D parameter mapping. VTube Studio WebSocket API control without a human actor.▸ PILLAR II — GENERATIVE AUDIO-REACTIVE VISUALSUnreal Engine 5 cel-shaded anime pipeline using hijacked Clear Coat shaders. TouchDesigner stem splitting via Demucs at 175 BPM. OSC cross-engine communication. GLSL VHS glitch artifacts bound to live drum hits.▸ PILLAR III — AI VOICE CLONING SYNTHESISXTTS-v2 / AllTalk sub-200ms conversational voice. Full RVC training pipeline with HuBERT + RMVPE pitch extraction. DiffSinger autonomous singing synthesis into HiFiGAN vocoder. RVC parameter optimization table included.▸ PILLAR IV — ALGORITHMIC CULT-BUILDINGElizaOS Character JSON blueprint. Three-tier persistent memory architecture. Closed-loop ARG viral infection cycle across streaming platforms.Plus a full hardware topology comparison matrix — Dual RTX 4090/5090 vs. Mac M3 Ultra vs. Enterprise GPU — with architectural tradeoffs mapped against real-time broadcast requirements.This is not a tutorial. This is an architecture brief.Build the idol. Run the system. Own the broadcast.ALL SYSTEMS SOVEREIGN.

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