Public model
KFK Neural Model 4B
The approved public neural audio model for Suno Reverse humanization, presented without exposing private checkpoint, infrastructure or training identifiers.
Built for measured music post-production.
KFK Neural Model 4B.
A source-first boundary.
Suno Reverse uses KFK Neural Model 4B for complete-song humanization. The goal is to reduce distracting synthetic texture while keeping the result recognizably connected to the supplied mix.
Results depend on the source. The model does not rewrite provenance, grant rights, guarantee platform acceptance or promise that every artifact can be removed without trade-offs. Compare the complete source and result before continuing.
Source-first scope
Measured change, not replacement
The Humanizer targets unwanted synthetic texture while aiming to keep lyrics, melody, source vocals, dynamics and arrangement connected to the upload.
Humanizer output
Stereo PCM-24 WAV at 48 kHz
A successful Humanizer job returns the complete accepted file as a 48 kHz stereo PCM-24 WAV for the next editing, mastering or delivery decision.
Storage boundary
Time-limited audio retention
Unpaid uploads remain available for seven days. Completed generated, humanized and mastered audio remains downloadable for at least 48 hours before scheduled cleanup.