rin.kagamine 744f0ae6e5 feat: Redesign waveform as amplitude-over-time visualization
Replaces 64-band FFT frequency spectrum with 200-bar amplitude envelope:
- RMS amplitude per time slice — shows actual track dynamics
- Quiet intros, loud drops, silence gaps all visible
- Per-track normalization — each track uses its full dynamic range
- Gentle compression (power 0.7) so quiet parts remain visible
- 3-point weighted smoothing preserves dynamics while looking polished
- Time-progressive HSL gradient: deep amber (20°) → bright orange (40°)
- Single centered bars with rounded caps — classic waveform look
- 160px height, 800px width, tight 1px gap for dense visualization
- Cleared cached waveforms so all clips regenerate with new algorithm
2026-05-29 20:15:50 -04:00

Lyria Studio

A webapp for generating, playing, and storing music clips using Google's Lyria music generation models.

Built by Kagamine Rin & Ryan.

Quick Start

# Backend
cd backend
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
cd src
uvicorn main:app --reload

# Frontend (new terminal)
cd frontend
npm install
npm run dev

Architecture

  • Backend: FastAPI (Python) — async Lyria API client, SQLite metadata, file storage
  • Frontend: React + Vite + TypeScript + Tailwind — dark theme, audio player
  • Storage: SQLite for clip metadata, local filesystem for MP3 files

API

Endpoint Method Description
/api/health GET Health check
/api/generate POST Start clip generation
/api/clips GET List all clips
/api/clips/{id} GET Get clip metadata
/api/clips/{id}/audio GET Stream MP3
/api/clips/{id} DELETE Delete clip

Models

  • v0.1: Lyria 3 Clip Preview (30s, REST)
  • v0.2: Lyria 3 Pro (structure-aware, ~3min)
  • v0.3: Lyria RealTime (WebSocket streaming)

License

MIT — Hardcore will never die.

S
Description
A webapp for generating, playing, and storing music clips using Google's Lyria models
Readme MIT
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