CapabilityF/01
Text-to-music generation.
Local ACE-Step 1.5 inference. Lyrics, prompts, style tags, reference audio. No round-trip latency, no rate limits, no subscription throttle.
On-device · MLX→
CapabilityF/02
LoRA & LoKR fine-tuning.
Train compact adapters on your own dataset. Selectable trainers from a fast numpy compact backend up to the full ACE-Step DiT LoRA/LoKR fine-tuning pipeline.
Selectable backends→
CapabilityF/03
Adapter import / export.
.ohmlora packaging. Bring trained adapters across machines, share them with collaborators, or version them in your project archive.
.ohmlora format→
CapabilityF/04
Stem separation (UVR).
Ultimate Vocal Remover models run through the audio-separator package, written to local files you can drop into any DAW. Falls back to spectral stems when the optional UVR runtime is unavailable.
Local · UVR-compatible→
CapabilityF/05
Audio analysis.
Real librosa BPM, key, chord, mood, genre, and structure analysis. Packaged-safe numba caching. Output that matches what your ear already knows.
librosa pipeline→
CapabilityF/06
Lyrics generation & translation.
Local mlx-lm runtime. Fails clearly when the local model is unavailable rather than silently falling back to the cloud. There is no cloud to fall back to.
mlx-lm · local→
CapabilityF/07
Web editor.
Trim, reverse, time-stretch, fade, normalize, and export inside the app. Generated audio is editable before final export.
In-app editor→
CapabilityF/08
Reference audio prompts.
Record or import a short clip; the model takes it as a style/mood prompt. Microphone access is requested only when you use the feature.
Opt-in microphone→