PROMPTS BY MODALITY

Music Prompts — 114 curated examples

Prompt examples tuned for Music generation workflows across RunAPI models. Filter by category, copy the prompt, or open the model-specific API code.

CATEGORIES All categories 1980s acid house acoustic soul Afrobeats Afro-trap alternative rock alt-rock amapiano ambient ambient electronic anime opening Balkan baroque pop bebop bedroom bedroom pop Berlin school bluegrass Bollywood boom bap bossa nova bossa-nova Brazilian phonk build-up Celtic folk chiptune cinematic cinematic piano cinematic R&B city-pop dark ambient dark cinematic deep house doom metal dream pop drift phonk drone ambient electro-pop fantasy folk funk funk-pop garage rock gospel soul gqom gregorian chorale grunge hip-hop indie folk indie-pop indie rock indie surf rock jazz-funk K-pop lo-fi lo-fi hip-hop lo-fi jazz math rock meditation melodic house melodic trap Memphis phonk metalcore minimal techno modern country modern pop modern R&B neo-soul orchestral outro parameterized metatags pentatonic scale pop pop ballad post-punk post-rock progressive house psychedelic funk psychedelic rock R&B reggae reggaeton rnb Scandinavian folk shoegaze slow R&B soul-gospel Sufi synth-pop synthwave trap tropical house UK drill vaporwave verse-chorus structure vocal jazz warehouse techno worship

MU

Music

lo-fi suno-v5.5

Lo-fi chillhop, mellow jazzy Rhodes chords, boom-bap drums,...

Lo-fi chillhop, mellow jazzy Rhodes chords, boom-bap drums, vinyl crackle, tape-warm analog production, no vocals, relaxed study beats, 72 BPM

/api/v1/suno/text_to_music

View API Code

curl -X POST https://runapi.ai/api/v1/suno/text_to_music \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "suno-v5.5",
  "prompt": "Lo-fi chillhop, mellow jazzy Rhodes chords, boom-bap drums, vinyl crackle, tape-warm analog production, no vocals, relaxed study beats, 72 BPM"
}
JSON

MU

Music

lo-fi suno-v5.5

Lo-fi hip hop study beat

A warm lo-fi hip hop beat perfect for late-night studying. Dusty vinyl crackle throughout. A mellow Rhodes electric piano plays a repeating four-chord jazz progression in a minor key. Boom-bap drums with a lazy swing feel, heavy on the snare with low-passed hi-hats. A subtle upright bass plucks root notes on the downbeats. Occasional tape wow and flutter effects. Tempo around 75 BPM. The overall mood is cozy, introspective, and slightly melancholic, like rain on a window at 2 AM.

/api/v1/suno/text_to_music

View API Code

curl -X POST https://runapi.ai/api/v1/suno/text_to_music \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "suno-v5.5",
  "prompt": "A warm lo-fi hip hop beat perfect for late-night studying. Dusty vinyl crackle throughout. A mellow Rhodes electric piano plays a repeating four-chord jazz progression in a minor key. Boom-bap drums with a lazy swing feel, heavy on the snare with low-passed hi-hats. A subtle upright bass plucks root notes on the downbeats. Occasional tape wow and flutter effects. Tempo around 75 BPM. The overall mood is cozy, introspective, and slightly melancholic, like rain on a window at 2 AM."
}
JSON

FAQ

Working with Music prompts

What makes a good %{model} prompt?

A useful %{model} prompt names the subject, style, constraints, and output intent clearly. The examples here are short enough to copy, but specific enough for an agent or backend job to preserve the generation goal.

Can I reuse these prompts across models?

Often, yes. Start with a prompt in this modality, then adjust model-specific fields such as aspect ratio, duration, voice settings, or style controls. The detail page shows any saved parameters next to the prompt text.

Where do I find the right model slug?

Every card shows the RunAPI model slug. Open the model page when you want only examples for one model, or follow the model catalog link for pricing and capability details before making a request.

Can agents call these prompts directly?

Yes. After installing the RunAPI MCP Server, paste the agent instruction from a prompt detail page. The page keeps the prompt text, model slug, and endpoint path together so the agent has enough context.