Music and sound effects with Guaardvark

Read setup first; needs the audio_foundry plugin. B=${GUAARDVARK_URL:-http://localhost:5000}. ACE-Step takes ~10 GB VRAM; the orchestrator evicts other models while it runs.

A song

curl -s -X POST $B/api/audio-foundry/generate/music -H 'Content-Type: application/json' -d '{
  "style_prompt": "indie folk, fingerpicked acoustic guitar, warm male vocal, 96 bpm, intimate",
  "lyrics": "[verse]\nLines here\n[chorus]\nHook here",
  "negative_prompt": "distorted, muddy, synth",
  "duration_s": 90, "instrumental_only": false,
  "output_format": "wav", "seed": 1234, "async": true
}'

• style_prompt uses ACE-Step's tag vocabulary: genre, instruments, mood, tempo, vocal type. Vague words ("professional", "futuristic") drift to the model's prior; be concrete, and use negative_prompt to push away from it. POST $B/api/audio-foundry/rewrite-music-prompt turns plain English into the tag form when the user wants help.
• lyrics with [verse] / [chorus] / [bridge] markers; omit or set instrumental_only: true.
• duration_s up to 240. Always send "async": true for anything over a few seconds.
• Response 202 {"job_id"} → poll GET $B/api/audio-foundry/jobs/<job_id>; done when status is done, with path, document_id, duration_s, seed. Reuse the seed to reproduce a take.

A sound effect or ambience

curl -s -X POST $B/api/audio-foundry/generate/fx -H 'Content-Type: application/json' -d '{
  "prompt": "rain on a tin roof, distant thunder, no music", "duration_s": 20, "output_format": "wav", "async": true
}'

duration_s up to 47. Same job polling.

Then

• A finished song can go straight into the music skill-video as the song.
• Jobs: GET $B/api/audio-foundry/jobs lists, DELETE clears finished ones.
• Attribution comes back in the job result; keep it with the file if the user publishes.