Music generation
local-suno
What it is
Lyrics → song → cloned voice → master: ACE-Step 1.5 (MLX), Demucs separation, RVC conversion, lookahead limiter. Asks the gateway to free RAM before running.
The architect's call
What went wrong
Constrained decoding broke lyrics generation. This is the most useful counter-example I have measured. Forcing structured output was meant to make the format reliable; the result was the opposite: 8,192 tokens, 140 seconds, truncated JSON. Unconstrained: 708 tokens, 13.8 seconds, valid JSON.
The cause was not the tool but the schema — unbounded, open objects and lists. Under a hard constraint the model has no reason to stop and loops to the ceiling. Rule kept and locked by a test: constrained decoding does not compensate for an unbounded schema, it amplifies it.
Durations quoted warm. The pipeline answered in 5 to 7 seconds — with the model already loaded. On the first call after eviction, expect roughly two minutes. Quoting the warm figure was the surest way to disappoint: timeouts and UI must be sized on the cold one.
The figures
The code
Private repository — walkthrough over a call
Capabilities engaged
Related projects
- Klody Core — Control plane
- Libretto — Musical structure analysis
- VocalBrain — TTS & voice cloning
Your data cannot leave the building?
That is precisely the problem I solve. A 30-minute call is enough to scope an audit.