AS

Prompt-to-Audio

ACE StepReleased Feb 12, 2025ace-step/prompt-to-audio

ACE-Step is an open-source model built to address the shortcomings of previous music generation systems by combining diffusion techniques, Sana’s Deep Compression AutoEncoder (DCAE), and a lightweight linear transformer. The ace-step/prompt-to-audio functionality is an interface within the ACE-Step music generation model that enables users to create audio directly from text prompts. This architecture allows it to produce high-quality, musically coherent audio efficiently and with a high degree of control. Users can input various prompt types -- including short tags, descriptive phrases, or full lyrics -- and the model interprets these inputs to generate corresponding music. With features like lyric editing and detailed control over song structure and style, the prompt-to-audio tool offers a powerful, flexible way to create music using natural language.

Context
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Input /1M
$0.005000/s
Output /1M
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AcceptsTextProducesAudioInstruct type none

Providers

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Input /1M$0.0002000/s
Output /1M—
Context—
Max output—

Supported parameters

Request parameters you can send with this model.

Other

granularity_scale
guidance_interval
guidance_interval_decay
guidance_scale
guidance_type
instrumental
lyric_guidance_scale
minimum_guidance_scale
number_of_steps
scheduler
tag_guidance_scale

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Frequently asked questions

Model scores sourced from ArtificialAnalysis