🎵 Music Generation Studio

Create AI-powered music with intelligent prompt analysis and context-aware generation using DiffRhythm2 and LyricMind AI.

⚠️ Important:

• This Space requires ZeroGPU to run
• You must be logged in to HuggingFace to use GPU features
• Free users get daily ZeroGPU quota - check your usage at https://huggingface.co/settings/billing
• If you see quota errors while logged in, try duplicating this Space to your account

Features

• Intelligent Music Generation: DiffRhythm2 model for high-quality music with vocals
• Smart Lyrics Generation: LyricMind AI for context-aware lyric creation
• Prompt Analysis: Automatically detects genre, BPM, and mood from your description
• Flexible Vocal Modes:
  • Instrumental: Pure music without vocals
  • User Lyrics: Provide your own lyrics
  • Auto Lyrics: AI-generated lyrics based on prompt
• Timeline Management: Build complete songs clip-by-clip
• Export: Download your creations in WAV, MP3, or FLAC formats

How to Use

1. Generate Music:

   • Enter a descriptive prompt (e.g., "energetic rock song with electric guitar at 140 BPM")
   • Choose vocal mode (Instrumental, User Lyrics, or Auto Lyrics)
   • Set duration (10-120 seconds)
   • Click "Generate Music Clip"

2. Manage Timeline:

   • View all generated clips in the timeline
   • Remove specific clips or clear all
   • Clips are arranged sequentially

3. Export:

   • Enter a filename
   • Choose format (WAV recommended for best quality)
   • Download your complete song

Models

• DiffRhythm2: Music generation with integrated vocals (ASLP-lab/DiffRhythm2)
• MuQ-MuLan: Music style encoding (OpenMuQ/MuQ-MuLan-large)

Performance

⏱️ Generation time: ~2-4 minutes per 30-second clip on CPU (HuggingFace Spaces free tier)

💡 Tip: Start with shorter durations (10-20 seconds) for faster results

Technical Details

• Built with Gradio and PyTorch
• Uses DiffRhythm2 for music generation with vocals
• Employs flow-matching techniques for high-quality audio synthesis
• Supports multiple languages for lyrics (English, Chinese, Japanese)

Credits

• DiffRhythm2 by ASLP-lab
• MuQ-MuLan by OpenMuQ
• Application interface and integration by Music Generation App Team

License

MIT License - See LICENSE file for details