ACE-Step Captioner is the annotation model used by
ACE-Step v1.5
for training data labeling. It is a professional-grade music captioning model that generates detailed, structured descriptions of audio content.
Performance
🏆
Accuracy surpasses Gemini Pro 2.5
in music description tasks
The model generates natural language descriptions covering multiple aspects of the music.
Example Output
A melancholic indie folk track featuring fingerpicked acoustic guitar
as the primary instrument. The song opens with a sparse, contemplative
intro before the vocals enter with a breathy, intimate delivery.
The arrangement gradually builds through the verse, adding subtle
string pads and a gentle kick drum. The chorus lifts with layered
harmonies and a warmer, fuller texture. The bridge introduces a
key change and emotional climax before returning to the stripped-down
acoustic arrangement for the outro.
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ACE-Step acestep-captioner online free url in huggingface.co:
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