ElevenLabs Music Finetunes vs a reusable Sume Music brief
ElevenLabs Finetunes train on your own tracks in about 5-10 minutes. Sume Music 1.0 has no training step; keep a brand sound with a reusable prompt brief.

Sume Music 1.0 has no finetuning. To keep a recurring brand sound you write one reusable brief and send it as the prompt each time. ElevenLabs Music Finetunes work differently: you upload tracks you own, and the page says the Finetune is ready in approximately 5-10 minutes.
ElevenLabs facts are from its Eleven Music page; Sume facts from the Music 1.0 docs and the OpenAPI reference, read 2026-10-01.
What are ElevenLabs Music Finetunes?
Per the page, you upload non-copyrighted tracks you own, they are screened for copyright compliance, and you get a personalized version of the music model that reflects your style, sonic identity or brand. You then generate with that Finetune inside ElevenCreative. The page also lists curated Finetunes made by ElevenLabs across genres.
How do I get a consistent sound on Sume?
The OpenAPI description for the Music prompt recommends a per-scene brief: emotion, genre, a BPM number, key and mode, lead instruments with texture, one named arc moment, era and production, then "Instrumental, no vocals." Freeze the parts that define your brand (instruments, texture, production era, BPM range) in a template and change only the emotion and arc line per scene. The prompt limit is 5000 characters, which leaves room for a detailed template. See AI music prompt examples for the structure in use.
What is different between the two approaches?
| Question | ElevenLabs Finetunes | Sume Music 1.0 |
|---|---|---|
| Training step | Upload your tracks, wait about 5-10 minutes | None |
| Where the style lives | In a trained Finetune | In your prompt template |
| Exclusions | Not covered on the page | Positive prompt only; negative_prompt is rejected when non-empty |
| Price | See ElevenLabs pricing | $0.125 per audio |
What should I check before relying on a template?
A prompt template steers a generation; it does not guarantee identical output, and it is not trained on your catalog. Generate a few takes, keep the brief that matches your sound, and store it with your project. If you must match your own recordings, a trained Finetune is the closer fit on the ElevenLabs side.
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