mirror of
https://github.com/kuhyx/testsAndMisc-archive.git
synced 2026-07-04 14:23:04 +02:00
Krzysztof kuhy Rudnicki
15bc7bf34f
- Add segmented generation with crossfading for long audio (>30s) - Add Bark integration for speech/vocal generation (--speech flag) - Add full song generation with vocals over instrumental (--song flag) - Auto-select MusicGen model size based on available VRAM - Enforce CUDA for NVIDIA GPUs (no CPU fallback) - Update README with new features and examples
146 lines
3.8 KiB
Markdown
146 lines
3.8 KiB
Markdown
# MusicGen - Local AI Music & Speech Generator
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Generate music and speech/vocals from text prompts using Meta's MusicGen and Suno's Bark.
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## Features
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- **Music Generation**: Create instrumental music from text descriptions (MusicGen)
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- **Long Audio Support**: Generate music of any length via automatic segmentation with crossfading
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- **Speech/Vocals**: Generate speech and singing with Bark (optional)
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- **CUDA Optimized**: Auto-detects GPU and selects best model for your VRAM
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- **No API Keys**: Runs 100% locally on your hardware
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## Quick Start
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```bash
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# 1. Run the setup script (creates venv, installs dependencies)
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cd python_pkg/music_gen
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./setup.sh
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# 2. Activate the virtual environment
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source venv/bin/activate
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# 3. Generate music!
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python music_generator.py "upbeat electronic dance music with synths"
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```
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## Usage
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### Music Generation (MusicGen)
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```bash
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# Basic usage
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python music_generator.py "jazz piano with soft drums"
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# Set duration (any length supported via segmentation)
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python music_generator.py --duration 60 "epic orchestral soundtrack"
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# Generate a full 3-minute track
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python music_generator.py --duration 180 "ambient electronic music"
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# Use smaller/faster model
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python music_generator.py --model small "rock guitar riff"
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# Use larger/better quality model (needs 12GB+ VRAM)
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python music_generator.py --model large "ambient electronic"
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```
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### Speech/Vocals Generation (Bark)
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```bash
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# First install Bark (not included in base setup)
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pip install git+https://github.com/suno-ai/bark.git
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# Generate speech
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python music_generator.py --speech "Hello, how are you today?"
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# Use different voice
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python music_generator.py --speech --voice v2/en_speaker_3 "Welcome!"
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# Generate singing
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python music_generator.py --speech "♪ La la la, I love to sing ♪"
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# With laughter and expression
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python music_generator.py --speech "That's so funny! [laughter] I can't believe it."
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```
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**Bark special tokens:**
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- `[laughter]`, `[laughs]`, `[sighs]`, `[gasps]` - expressions
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- `[music]`, `[clears throat]` - sounds
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- `♪` - singing
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- `...` or `—` - hesitations
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**Available voices:** `v2/en_speaker_0` through `v2/en_speaker_9`
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### Interactive Mode
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```bash
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python music_generator.py --interactive
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```
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In interactive mode:
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- Type prompts to generate music
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- `:d 15` - Set duration to 15 seconds
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- `:h` - Show example prompts
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- `:q` - Quit
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## Model Sizes (Auto-Selected by VRAM)
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| Model | Size | VRAM | Quality | Speed |
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| ------ | ------ | ----- | ------- | ------ |
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| small | ~500MB | 3GB+ | Good | Fast |
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| medium | ~3.3GB | 8GB+ | Better | Medium |
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| large | ~6.5GB | 12GB+ | Best | Slow |
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## Requirements
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- Python 3.10+
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- NVIDIA GPU with CUDA (required for NVIDIA systems)
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- Apple Silicon supported via MPS
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- 8GB+ VRAM recommended for best results
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## Output
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Generated audio files are saved to `./output/` as WAV files with timestamps.
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## Example Prompts
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- "upbeat electronic dance music with heavy bass"
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- "calm acoustic guitar melody with soft percussion"
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- "epic orchestral soundtrack with dramatic strings"
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- "lo-fi hip hop beats for studying"
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- "80s synthwave with retro vibes"
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- "jazz piano trio with upright bass"
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- "ambient electronic music for relaxation"
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- "rock guitar riff with drums"
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- "classical piano sonata in minor key"
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## Troubleshooting
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### Out of Memory
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- Try `--model small` for lower VRAM usage
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- Reduce duration with `--duration 10`
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- Close other GPU applications
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### Slow Generation
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- Make sure GPU is detected (check output at startup)
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- Use `--model small` for faster generation
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- Reduce duration
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### No Sound / Corrupted File
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- Check if scipy is installed: `pip install scipy`
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- Try a different audio player (VLC recommended)
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### CUDA Not Available
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If you see "NVIDIA GPU detected but CUDA is not available":
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```bash
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pip install torch --index-url https://download.pytorch.org/whl/cu121
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```
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