Create instrumental tracks, songs with lyrics, background music, and jingles using the ElevenLabs Music API. Describe the sound and duration, or edit a structured composition plan to control musical styles and sections.
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Generate music using ElevenLabs Music API. Use when creating instrumental tracks, songs with lyrics, background music, jingles, or any AI-generated music composition. Supports prompt-based generation, composition plans for granular control, and detailed output with metadata.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Generate music from text prompts - supports instrumental tracks, songs with lyrics, and fine-grained control via composition plans.
Setup: See Installation Guide. For JavaScript, use
@elevenlabs/*packages only.
from elevenlabs import ElevenLabs
client = ElevenLabs()
audio = client.music.compose(
prompt="A chill lo-fi hip hop beat with jazzy piano chords",
music_length_ms=30000
)
with open("output.mp3", "wb") as f:
for chunk in audio:
f.write(chunk)
import { ElevenLabsClient } from "@elevenlabs/elevenlabs-js";
import { createWriteStream } from "fs";
const client = new ElevenLabsClient();
const audio = await client.music.compose({
prompt: "A chill lo-fi hip hop beat with jazzy piano chords",
musicLengthMs: 30000,
});
audio.pipe(createWriteStream("output.mp3"));
curl -X POST "https://api.elevenlabs.io/v1/music" \
-H "xi-api-key: $ELEVENLABS_API_KEY" -H "Content-Type: application/json" \
-d '{"prompt": "A chill lo-fi beat", "music_length_ms": 30000}' --output output.mp3
| Method | Description |
|---|---|
music.compose | Generate audio from a prompt or composition plan |
music.composition_plan.create | Generate a structured plan for fine-grained control |
music.compose_detailed | Generate audio + composition plan + metadata |
music.upload | Upload an audio file for later inpainting workflows and optionally extract its composition plan |
See API Reference for full parameter details.
music.upload is available to enterprise clients with access to the inpainting feature.
For granular control, generate a composition plan first, modify it, then compose:
plan = client.music.composition_plan.create(
prompt="An epic orchestral piece building to a climax",
music_length_ms=60000
)
# Inspect/modify styles and sections
print(plan.positiveGlobalStyles) # e.g. ["orchestral", "epic", "cinematic"]
audio = client.music.compose(
composition_plan=plan,
music_length_ms=60000
)
bad_prompt errors include a prompt_suggestion with alternative phrasingbad_composition_plan errors include a composition_plan_suggestiontry:
audio = client.music.compose(prompt="...", music_length_ms=30000)
except Exception as e:
print(f"API error: {e}")
Common errors: 401 (invalid key), 422 (invalid params), 429 (rate limit).
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Create 3D objects from text or images, choose catalog assets for repeated scenery, and inspect the results in Blender. The workflow checks geometry, materials, scale, and ground contact while recording asset sources and generation costs.
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Generate background music and songs with lyrics using ACE-Step 1.5, with controls for duration, tempo, and musical key. You can also restyle reference audio and separate vocals or individual instruments from mixed tracks.
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Build voice assistants and conversational characters with ElevenLabs. Configure voices, language models, and external tools, then connect conversations to a website widget or use Twilio integration for outbound phone calls.
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Create AI video clips from text or reference images, choosing among providers to match the task and budget. Supports vertical social videos, product photo animation, and conversational editing of existing clips with Gemini Omni Flash.
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Generate video clips from text descriptions or reference images through multiple API services. Compare available providers by cost and task needs, choose aspect ratios, track generation progress, and refine existing clips through conversational editing with Gemini Omni.
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Generate and edit images and videos through Atlas Cloud using one API key across multiple model families. Choose supported models for each task, download the results, and retain details about the model, inputs, and estimated cost.
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