testsAndMisc-archive/python_pkg/music_gen

MusicGen - Local AI Music & Speech Generator

Generate music and speech/vocals from text prompts using Meta's MusicGen and Suno's Bark.

Features

• Music Generation: Create instrumental music from text descriptions (MusicGen)
• Long Audio Support: Generate music of any length via automatic segmentation with crossfading
• Speech/Vocals: Generate speech and singing with Bark (optional)
• CUDA Optimized: Auto-detects GPU and selects best model for your VRAM
• No API Keys: Runs 100% locally on your hardware

Quick Start

# 1. Run the setup script (creates venv, installs dependencies)
cd python_pkg/music_gen
./setup.sh

# 2. Activate the virtual environment
source venv/bin/activate

# 3. Generate music!
python music_generator.py "upbeat electronic dance music with synths"

Usage

Music Generation (MusicGen)

# Basic usage
python music_generator.py "jazz piano with soft drums"

# Set duration (any length supported via segmentation)
python music_generator.py --duration 60 "epic orchestral soundtrack"

# Generate a full 3-minute track
python music_generator.py --duration 180 "ambient electronic music"

# Use smaller/faster model
python music_generator.py --model small "rock guitar riff"

# Use larger/better quality model (needs 12GB+ VRAM)
python music_generator.py --model large "ambient electronic"

Speech/Vocals Generation (Bark)

# First install Bark (not included in base setup)
pip install git+https://github.com/suno-ai/bark.git

# Generate speech
python music_generator.py --speech "Hello, how are you today?"

# Use different voice
python music_generator.py --speech --voice v2/en_speaker_3 "Welcome!"

# Generate singing
python music_generator.py --speech "♪ La la la, I love to sing ♪"

# With laughter and expression
python music_generator.py --speech "That's so funny! [laughter] I can't believe it."

Bark special tokens:

• [laughter], [laughs], [sighs], [gasps] - expressions
• [music], [clears throat] - sounds
• ♪ - singing
• ... or — - hesitations

Available voices: v2/en_speaker_0 through v2/en_speaker_9

Interactive Mode

python music_generator.py --interactive

In interactive mode:

• Type prompts to generate music
• :d 15 - Set duration to 15 seconds
• :h - Show example prompts
• :q - Quit

Model Sizes (Auto-Selected by VRAM)

Model	Size	VRAM	Quality	Speed
small	~500MB	3GB+	Good	Fast
medium	~3.3GB	8GB+	Better	Medium
large	~6.5GB	12GB+	Best	Slow

Requirements

• Python 3.10+
• NVIDIA GPU with CUDA (required for NVIDIA systems)
• Apple Silicon supported via MPS
• 8GB+ VRAM recommended for best results

Output

Generated audio files are saved to ./output/ as WAV files with timestamps.

Example Prompts

• "upbeat electronic dance music with heavy bass"
• "calm acoustic guitar melody with soft percussion"
• "epic orchestral soundtrack with dramatic strings"
• "lo-fi hip hop beats for studying"
• "80s synthwave with retro vibes"
• "jazz piano trio with upright bass"
• "ambient electronic music for relaxation"
• "rock guitar riff with drums"
• "classical piano sonata in minor key"

Troubleshooting

Out of Memory

• Try --model small for lower VRAM usage
• Reduce duration with --duration 10
• Close other GPU applications

Slow Generation

• Make sure GPU is detected (check output at startup)
• Use --model small for faster generation
• Reduce duration

No Sound / Corrupted File

• Check if scipy is installed: pip install scipy
• Try a different audio player (VLC recommended)

CUDA Not Available

If you see "NVIDIA GPU detected but CUDA is not available":

pip install torch --index-url https://download.pytorch.org/whl/cu121