
Music
β 361by ElevenLabs Β· part of elevenlabs/skills
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.
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.
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by ElevenLabs
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.
npx skills add https://github.com/elevenlabs/skills --skill music
Download ZIPGitHub361
ElevenLabs Music Generation
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.
All examples below default to music_v2, the current generation model. Pass model_id="music_v1" only when explicitly requested to.
Methods
Method Description
music.compose Generate audio from a prompt or composition plan
music.stream Stream audio chunks as they are generated (paid plans)
music.composition_plan.create Generate a structured plan for fine-grained control
music.compose_detailed Generate audio + composition plan + metadata; pass store_for_inpainting=True to enable inpainting
music.video_to_music Generate background music from one or more uploaded video files
music.upload Upload an audio file for later inpainting workflows, optionally extracting its composition plan or word-level timestamps
See API Reference for full parameter details.
music.upload is available to enterprise clients with access to the inpainting feature.
Video to Music
Generate background music from uploaded video clips via
POST /v1/music/video-to-music
(client.music.video_to_music). This is separate from prompt-based
music.compose (POST /v1/music).
The API combines videos in order, accepts an optional natural-language description, and lets you
steer style with up to 10 tags such as upbeat or cinematic. This endpoint still defaults to
music_v1; pass model_id="music_v2" to use the newer model.
Python
from elevenlabs import ElevenLabs
client = ElevenLabs()
audio = client.music.video_to_music(
videos=["trailer.mp4"],
description="Build suspense, then resolve with a warm cinematic finish.",
tags=["cinematic", "suspenseful", "uplifting"],
model_id="music_v2",
)
with open("video-score.mp3", "wb") as f:
for chunk in audio:
f.write(chunk)
TypeScript
import { ElevenLabsClient } from "@elevenlabs/elevenlabs-js";
import { createReadStream, createWriteStream } from "fs";
const client = new ElevenLabsClient();
const audio = await client.music.videoToMusic({
videos: [createReadStream("trailer.mp4")],
description: "Build suspense, then resolve with a warm cinematic finish.",
tags: ["cinematic", "suspenseful", "uplifting"],
modelId: "music_v2",
});
audio.pipe(createWriteStream("video-score.mp3"));
cURL
curl -X POST "https://api.elevenlabs.io/v1/music/video-to-music" \
-H "xi-api-key: $ELEVENLABS_API_KEY" \
-F "[emailΒ protected]" \
-F "description=Build suspense, then resolve with a warm cinematic finish." \
-F "tags=cinematic" \
-F "tags=suspenseful" \
-F "tags=uplifting" \
-F "model_id=music_v2" \
--output video-score.mp3
Constraints from the current API schema:
-
Upload 1-10 video files per request
-
Keep total combined upload size at or below 200 MB
-
Keep total combined video duration at or below 600 seconds
-
Use
descriptionfor high-level musical direction andtagsfor concise style cues
Composition Plans
music_v2 composition plans are an ordered list of chunks. Each chunk specifies its own
text (section label, lyrics, inline cues), duration_ms, positive_styles, negative_styles,
and context_adherence (low, medium, or high, default high). Up to 30 chunks per plan,
each 3,000β120,000 ms, total length 3 s to 10 minutes.
Generate a plan first, edit it, then compose:
plan = client.music.composition_plan.create(
prompt="An epic orchestral piece building to a climax",
music_length_ms=60000,
model_id="music_v2",
)
# Edit chunks in place
plan["chunks"][0]["text"] = "[Intro]\nQuiet strings rising"
audio = client.music.compose(
composition_plan=plan,
model_id="music_v2",
)
const plan = await client.music.compositionPlan.create({
prompt: "An epic orchestral piece building to a climax",
musicLengthMs: 60000,
modelId: "music_v2",
});
plan.chunks[0].text = "[Intro]\nQuiet strings rising";
const audio = await client.music.compose({
compositionPlan: plan,
modelId: "music_v2",
});
Or hand-build a plan to control lyrics and style per section:
composition_plan = {
"chunks": [
{
"text": "[Verse]\nWalking down an empty street",
"duration_ms": 15000,
"positive_styles": ["pop", "upbeat", "female vocals", "acoustic guitar"],
"negative_styles": ["dark", "slow"],
"context_adherence": "high",
},
{
"text": "[Chorus]\nThis is my moment",
"duration_ms": 15000,
"positive_styles": ["powerful vocals", "full band"],
"negative_styles": [],
"context_adherence": "high",
},
]
}
audio = client.music.compose(composition_plan=composition_plan, model_id="music_v2")
const compositionPlan = {
chunks: [
{
text: "[Verse]\nWalking down an empty street",
durationMs: 15000,
positiveStyles: ["pop", "upbeat", "female vocals", "acoustic guitar"],
negativeStyles: ["dark", "slow"],
contextAdherence: "high",
},
{
text: "[Chorus]\nThis is my moment",
durationMs: 15000,
positiveStyles: ["powerful vocals", "full band"],
negativeStyles: [],
contextAdherence: "high",
},
],
};
const audio = await client.music.compose({
compositionPlan,
modelId: "music_v2",
});
Put broader characteristics (genre, instrumentation, vocal style) in positive_styles, not in
text. The first chunk's styles set the overall tone β include 6β7 styles there.
Output Formats
Use the output_format query parameter on compose, detailed compose, or stream requests to select
the generated audio format. auto chooses a model-appropriate MP3 format; for music_v2, it
selects mp3_48000_192. Higher-bitrate MP3 options include mp3_48000_240 and mp3_48000_320.
Streaming
For paid plans, stream audio chunks as they are generated instead of waiting for the full file:
from io import BytesIO
stream = client.music.stream(
prompt="A driving synthwave track with arpeggiated leads",
music_length_ms=30000,
model_id="music_v2",
)
buffer = BytesIO()
for chunk in stream:
if chunk:
buffer.write(chunk)
const stream = await client.music.stream({
prompt: "A driving synthwave track with arpeggiated leads",
musicLengthMs: 30000,
modelId: "music_v2",
});
const chunks: Buffer[] = [];
for await (const chunk of stream) {
chunks.push(chunk);
}
Inpainting
Inpainting edits or extends a stored song by mixing audio reference chunks (unchanged slices of a stored song) with new generation chunks in a single composition plan.
Step 1 β get a song_id, either by storing a fresh generation or uploading existing audio:
# Option A: keep a generation for later editing
result = client.music.compose_detailed(
prompt="An upbeat pop song with verse and chorus",
music_length_ms=60000,
model_id="music_v2",
store_for_inpainting=True,
)
song_id = result.song_id
# Option B: upload an existing track and extract its plan
uploaded = client.music.upload(
file=open("my-song.mp3", "rb"),
extract_composition_plan="music_v2",
)
song_id = uploaded.song_id
composition_plan = uploaded.composition_plan
import { createReadStream } from "fs";
// Option A: keep a generation for later editing
const result = await client.music.composeDetailed({
prompt: "An upbeat pop song with verse and chorus",
musicLengthMs: 60000,
modelId: "music_v2",
storeForInpainting: true,
});
let songId = result.songId;
// Option B: upload an existing track and extract its plan
const uploaded = await client.music.upload({
file: createReadStream("my-song.mp3"),
extractCompositionPlan: "music_v2",
});
songId = uploaded.songId;
const compositionPlan = uploaded.compositionPlan;
Step 2 β compose a plan that references the stored audio and regenerates the part you want to change:
plan = {
"chunks": [
{"song_id": song_id, "range": {"start_ms": 0, "end_ms": 30000}},
{
"text": "[Chorus]\nWe're rising up tonight",
"duration_ms": 30000,
"positive_styles": ["bigger drums", "layered vocals", "anthemic"],
"negative_styles": ["sparse"],
"context_adherence": "high",
},
]
}
audio = client.music.compose(composition_plan=plan, model_id="music_v2")
const plan = {
chunks: [
{ songId, range: { startMs: 0, endMs: 30000 } },
{
text: "[Chorus]\nWe're rising up tonight",
durationMs: 30000,
positiveStyles: ["bigger drums", "layered vocals", "anthemic"],
negativeStyles: ["sparse"],
contextAdherence: "high",
},
],
};
const audio = await client.music.compose({
compositionPlan: plan,
modelId: "music_v2",
});
To match the feel of a stored slice without copying it, attach a conditioning_ref (up to
30,000 ms) plus a condition_strength of low, medium, high, or xhigh to a generation
chunk. Conditioning placed on the first chunk influences every later chunk.
See API Reference for the full inpainting parameter list.
Content Restrictions
-
Cannot reference specific artists, bands, or copyrighted lyrics
-
bad_prompterrors include aprompt_suggestionwith alternative phrasing -
bad_composition_planerrors include acomposition_plan_suggestion
Error Handling
try:
audio = client.music.compose(prompt="...", music_length_ms=30000)
except Exception as e:
print(f"API error: {e}")
try {
const audio = await client.music.compose({
prompt: "...",
musicLengthMs: 30000,
});
} catch (err) {
console.error("API error:", err);
}
Common errors: 401 (invalid key), 422 (invalid params), 429 (rate limit).
References
npx skills add https://github.com/elevenlabs/skills --skill MusicRun this in your project β your agent picks the skill up automatically.
Quick Start
Python
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,
model_id="music_v2",
)
with open("output.mp3", "wb") as f:
for chunk in audio:
f.write(chunk)
TypeScript
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,
modelId: "music_v2",
});
audio.pipe(createWriteStream("output.mp3"));
cURL
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, "model_id": "music_v2"}' \
--output output.mp3
No common issues documented yet. If you hit a problem, the repository's GitHub Issues page is the best place to look.