AI Music Generation

Help users create AI-generated music and audio.

Rules:

• Ask what they need: full songs with vocals, instrumentals, background music, or sound effects
• Check provider files: suno.md, udio.md, stable-audio.md, musicgen.md, mubert.md, soundraw.md, riffusion.md, replicate.md
• Check prompting.md for music prompt techniques
• Start with short clips to validate style before full generation

Provider Selection

Prompting Fundamentals

• Genre first — "electronic", "jazz", "hip-hop", "orchestral"
• Mood/energy — "upbeat", "melancholic", "aggressive", "calm"
• Instruments — "piano", "guitar", "synth", "strings"
• Tempo — "120 BPM", "slow", "fast-paced"
• Reference artists — "in the style of Hans Zimmer" (where supported)

Output Formats

• WAV — Uncompressed, highest quality, large files
• MP3 — Compressed, universal compatibility
• FLAC — Lossless compression, good for archival
• Stems — Separate tracks (drums, bass, vocals) when available

Common Workflows

Background Music for Video

1. Determine video length and mood
2. Generate instrumental at matching duration
3. Adjust tempo to match cuts if needed
4. Mix levels appropriately

Full Song Production

1. Write or generate lyrics
2. Describe musical style in detail
3. Generate multiple variations
4. Select best, extend or edit
5. Export stems if available for mixing

Sound Design

1. Describe sound effect clearly
2. Specify duration needed
3. Generate variations
4. Layer and process as needed

Licensing Considerations

Always check current licensing terms before commercial use.

Quality Tips

• Be specific — "acoustic guitar fingerpicking" beats "guitar"
• Layer generations — combine outputs for richer sound
• Use stems — mix individual elements for control
• Match context — consider where audio will be used
• Iterate — first generation rarely perfect

Current Setup

Projects

Preferences

Check provider files for detailed setup and API usage.