Generate full songs with vocals or instrumentals (ACE-Step) and sound effects or ambience (Stable Audio Open) on the user's GPU through Guaardvark's Audio Foundry. Use when the user asks for a song, a beat, a jingle, background music, or a sound effect, made locally with no subscription.
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See how to installReview the instructions the agent will receive before you install.
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.
Over MCP, call generate_music (style, optional lyrics, seconds up to 240,
instrumental, seed, model); it returns a job_id for get_generation_status, which reports
the file and a download link when the song is done. Without MCP, use REST:
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
}'
model: omit (or "ace-step") for ACE-Step v1; "ace-step-1.5" for ACE-Step 1.5 (MIT,
48 kHz, turbo model plus a planner) once it is installed in Audio Studio → Manage models.
Not installed → 400 with needs_install; nothing is downloaded.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.
negative_prompt is accepted but neither ACE-Step model applies it (the result says
negative_prompt_applied: false). 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.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.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.
song.GET $B/api/audio-foundry/jobs lists, DELETE clears finished ones.No reviews yet. Tell others what you thought.
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Build consistent characters, environments and props in Guaardvark's Cast Library and train LoRAs for them locally (reference photos → vision bible → sample plan → approved samples → training). Use when the user wants the same face or object across images, videos, a music video, or a Film Crew production, or asks to "train a LoRA".
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Code intelligence over repositories Guaardvark has indexed: semantic code search, exact-text search, file listing, PageRank repository map, import dependency graph, reading one class or function, analysis and generated rewrites, plus the System Mapper and self-improvement status. Use when the user asks where something is implemented, how modules depend on each other, or wants an architecture map of an indexed repo.
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Run Guaardvark's five-role Film Crew locally: screenwriter, casting (Cast Library LoRAs), cinematographer storyboards, keyframe renders, editor. Turns a logline or screenplay into a finished short video with human gates at casting and storyboard. Use when the user says "film this", "make a short film", "storyboard this script", or "start the film crew".
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Generate or edit images on the user's own GPU through Guaardvark: single images, instruction edits, background cut-outs, inpaint and outpaint, consistent characters from the Cast Library, and batch runs of many prompts. Use when the user asks to create, draw, render, visualize, edit, or batch-generate images locally.
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Answer from the user's own indexed documents with Guaardvark's local RAG, browse and read indexed files section by section, remember facts across sessions, and process or fetch new material. Use when the user asks what their documents say, wants a source-cited answer from their files, says "remember this", or asks to index a PDF, DOCX, spreadsheet, image or URL.
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Add any Hugging Face image or video model, checkpoint or LoRA to Guaardvark from a URL, list what is installed, and download registry models on request. Use when the user pastes a huggingface.co link or a .safetensors URL, asks "can it run <model>", or wants a new LoRA or checkpoint available in the Studio.
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