README.md

metadata

title: Nobility v1 — Beryl AI Labs
emoji: 🎭
colorFrom: green
colorTo: yellow
sdk: gradio
sdk_version: 3.50.2
app_file: app.py
pinned: true
license: apache-2.0
hardware: zero-gpu
short_description: Qwen-Native Audio-Driven Avatar Pipeline
tags:
  - avatar
  - qwen
  - real-time
  - diffusion
  - digital-human
  - nobility-v1
  - beryl-ai-labs

Nobility v1 — Beryl AI Labs

The first end-to-end Qwen-native audio-driven avatar pipeline.

"We need to have a face to face."

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What This Space Validates

This Space runs Layers 1-3 of the Nobility v1 pipeline live:

Layer	Model	Status
L1 Brain	Qwen3 via NVIDIA NIM	✅ Live
L2 Director	Qwen3 Shot Planner via NIM	✅ Live
L3 Drift Scorer	Qwen3-VL Identity Lock via NIM	✅ Live
L4 Engine	Wan2.2-S2V 4-step Causal Student	⏳ Distillation Pending
L5 Decode	Stream-VAE + FlashVSR	⏳ With L4

How To Use

1. Get a free NIM API key at build.nvidia.com
2. Paste it in the API key field
3. Upload an identity reference image (optional)
4. Talk to Amanda

The Five Research Contributions

• RC-01 Qwen-Native Closed-Loop Architecture
• RC-02 Audio-First Causal Distillation (4-step student from 50-step teacher)
• RC-03 Cross-Modal Drift Scoring — 0.3 Deviation Rule with melanin-weighted enforcement
• RC-04 BitNet W1.58A8 + MoE Compound Weight Reduction
• RC-05 Infinity-RoPE for indefinite avatar session length

The Moat

Every competitor chains 4+ vendors. Nobility v1 runs one co-designed family. Wan-S2V was trained using Qwen-VL captions. Wan2.2 ships with Qwen2.5 prompt extenders. The family is designed to interlock. We're the first to run the full stack.

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Beryl AI Labs · New Orleans · tyronne-os/nobility-v1