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Elevenlabs Music: Text-to-Sound Studio-Grade Song Generation on Models and API | RunComfy

elevenlabs/elevenlabs/music-generation

Generate studio-quality songs from text prompts with multilingual vocals, section-level editing, and API access, ideal for ad music, podcasts, and sonic brand creation.

Style description and lyrics with structure markers
Output duration in milliseconds (5000-300000 ms, i.e. 5s-300s)
Generate instrumental only without vocals
Output format (see options below)
Idle
The rate is $0.0083 per second.

Introduction To Elevenlabs Music Song Creation

ElevenLabs' Elevenlabs Music transforms text prompts into studio-grade songs at $0.0083 per second, supporting up to 5-minute tracks and CD-quality 44.1 kHz WAV, with multilingual vocals and section-by-section structural control. Trading manual composer briefs, revisions, and licensing negotiations for structured, multilingual prompt-to-song generation with section-level editing and rights-cleared outputs, Elevenlabs Music streamlines production by eliminating back-and-forth demos and clearance delays, built for brands, media agencies, game studios, and post-production teams. For developers, Elevenlabs Music on RunComfy can be used both in the browser and via an HTTP API, so you don’t need to host or scale the model yourself.
Ideal for: Rights-Cleared Ad Music Production | Narrative Podcast Scoring | Sonic Brand Identity Development

ElevenLabs / Elevenlabs Music#


Elevenlabs Music is a text-to-music generation model that turns natural-language prompts and optional structured lyrics into high-fidelity songs, with or without vocals. The model accepts detailed style and section descriptions, then outputs polished audio suitable for media, games, and creative production.


Output format: Audio only / duration ~3 seconds to ~5 minutes / 44.1 kHz / stereo / MP3 or WAV


Highlights#

  • Section-wise control and edits: Describe intro–verse–chorus layouts and revise sections without regenerating the entire track.
  • Multilingual vocals: Generate singing in multiple languages with natural phrasing and stylistic nuances.
  • Fine-tune support: Train custom stylistic variants from audio you own to build a unique sonic identity.
  • Commercial-friendly outputs: Commonly used across film, games, podcasts, and advertising with clear rights guidance from the provider.
  • Strong prompt adherence: Elevenlabs Music is known for following complex style, mood, and structure instructions with consistent results.
  • Built for production: Export MP3 for quick sharing or WAV for post-processing workflows.

Parameters#

Use these fields to steer Elevenlabs Music reliably.


ParameterRequiredTypeDefaultRange / OptionsDescription
prompt*Yes (*)string——Style description and lyrics with structure markers.
music_length_msNointeger40000Typically 3000–300000Output duration in milliseconds.
force_instrumentalNobooleandisabledtrue/falseGenerate instrumental only without vocals.
output_formatNostringmp3_standardSee platform optionsOutput format (default: mp3_standard; other formats as listed in the platform).

Pricing#

Elevenlabs Music on RunComfy uses time-based billing for generated audio.


Billing unitRate
Per second of generated audio$0.0083

Estimated cost examples


DurationApprox. cost
30 s~$0.249
40 s (default)~$0.332
60 s~$0.498
120 s~$0.996
300 s (5 min)~$2.49

How to Use#

1) Select the model on RunComfy and open the generation panel for Elevenlabs Music.

2) Write your prompt with structure markers (e.g., “Intro 8 bars, Verse 16 bars, Chorus 16 bars”) and include lyrics if you want vocals.

3) Set music_length_ms to match your plan (e.g., 40000 for ~40 seconds); start short to iterate faster, then extend.

4) Enable force_instrumental if you need a vocal-free bed; otherwise leave it off for sung lyrics.

5) Choose output_format based on workflow needs (MP3 for speed, WAV for mixing) as available on the platform.

6) Generate and review; if a section needs changes, adjust that portion of the prompt and rerun rather than rewriting the whole song.

7) For API use on RunComfy, send the same parameters; no self-hosting is required and results are downloadable from your job history.

8) Save variants that nail different sections; you can later splice or compare versions to converge on the best take.


Prompt & Reference Tips#

  • Start with a 30–45s draft to validate genre, instrumentation, and vocal tone before requesting a full-length render.
  • Use clear section labels (Intro, Verse, Chorus, Bridge) with approximate durations to improve structural fidelity in Elevenlabs Music.
  • Specify lead instruments and mix priorities (e.g., “warm electric piano lead, tight kick, sidechained bass”) to guide arrangement balance.
  • Provide explicit lyrical meter and rhymes for verses and chorus; keep syllable counts consistent to maintain vocal flow.
  • Apply include/exclude style cues (e.g., “include acoustic strums, exclude heavy distortion”) to refine timbre.
  • Avoid contradictory instructions like “lo-fi yet ultra-hi-fi”; choose one dominant aesthetic per section.
  • If you hit duration or format errors, confirm music_length_ms is within platform limits and that output_format is supported.
  • For multilingual vocals in Elevenlabs Music, note the language and desired accent within the lyric line annotations.

How Elevenlabs Music compares to other models#

  • Compared to Suno AI, Elevenlabs Music delivers more granular section-by-section control and multilingual vocal direction based on publicly available information.
  • Key Improvements: In Advanced workflows, it emphasizes prompt adherence, structural editing, and fine-tune options over the simpler “single-prompt” approach.
  • Ideal Use Case: Choose Elevenlabs Music when you need narrative song arcs, multilingual lyrics, or to match a repeatable sonic brand via fine-tunes.

On RunComfy, Elevenlabs Music offers fast iteration with detailed structure control for professional music workflows.

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Frequently Asked Questions

What is ElevenLabs Music and how does its text-to-sound model differ from other AI music systems?

ElevenLabs Music is a text-to-sound model that generates full-length songs or instrumental tracks from natural language prompts. Compared to other systems, it offers detailed section-by-section control, multilingual vocals, and customizable fine-tuning. This allows users to create professional-grade tracks using the ElevenLabs Music interface or the RunComfy API.

What genres and languages can ElevenLabs Music text-to-sound model support?

ElevenLabs Music supports nearly all musical genres — from classical to hip-hop — and can generate vocals in multiple languages such as English, Spanish, German, and Japanese. The text-to-sound architecture is designed to interpret stylistic and emotional cues across languages, enabling global accessibility for content creators.

What are the maximum duration and technical limits of ElevenLabs Music text-to-sound generation?

Currently, ElevenLabs Music text-to-sound generation supports tracks from about 3 seconds up to 5 minutes in duration. Outputs are capped at studio-quality 44.1 kHz MP3 or WAV. Each prompt can include structured sections, and the total text prompt length is optimized for up to a few thousand tokens for best performance.

Are there any constraints on reference uploads or fine-tune data when using ElevenLabs Music text-to-sound?

Yes, users can fine-tune ElevenLabs Music with non-copyrighted reference material only. The fine-tune feature allows limited custom datasets—typically 5 to 10 short audio references—to train a personalized model. Oversized audio or copyrighted references may be rejected by the ElevenLabs Music servers for compliance and performance reasons.

How does one move from a trial session in the RunComfy Models to production-level ElevenLabs Music API integration?

To transition from prototyping in the RunComfy Models to production, developers can use the RunComfy API endpoints that mirror Models parameters. After validating generation quality in ElevenLabs Music's text-to-sound experiments, you can authenticate via API keys, automate jobs, and manage billing with usd credits for scalable deployment.

Can I use ElevenLabs Music text-to-sound outputs commercially in games, films, or podcasts?

Yes, in most cases ElevenLabs Music provides commercial rights for generated tracks. However, users should confirm the exact terms directly on elevenlabs.io before redistribution. The text-to-sound engine ensures outputs are original and cleared for common use cases, but proper licensing review is recommended before large-scale deployment.

What makes ElevenLabs Music’s audio fidelity better than earlier AI music models?

ElevenLabs Music uses a next-generation text-to-sound synthesis engine delivering consistent structural logic, improved mixing accuracy, and high-fidelity audio at 44.1 kHz. Earlier models often lacked dynamic range or structural cohesion, while ElevenLabs Music reproduces nuanced transitions and realistic vocals without noticeable artifacts.

How does ElevenLabs Music compare to competitors like Suno or Udio?

ElevenLabs Music’s text-to-sound model offers more granular structure control and prompt adherence than Suno, and more flexible editing than Udio. While Udio excels in vocal timbre realism, ElevenLabs Music provides richer per-section control and transparent licensing, helping developers and artists maintain creative and legal precision.

Can developers automate batch song generation in ElevenLabs Music using the text-to-sound API?

Yes, the ElevenLabs Music text-to-sound API supports batch or queued generation through RunComfy’s endpoint architecture. Developers can iterate on prompts, adjust section transitions, and collect outputs programmatically in MP3 or WAV, streamlining soundtrack creation for apps, virtual worlds, or dynamic media pipelines.

Does ElevenLabs Music allow partial re-edits or section-specific regeneration using its text-to-sound interface?

Yes. ElevenLabs Music includes section-aware editing so users can regenerate individual segments—like chorus or bridge—without affecting the rest of the composition. This fine-grained text-to-sound control supports iterative creative workflows for both developers and technical artists seeking efficiency and precision.

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