Ohm Studio · Mac + iPad

Local AI
music
that stays local.

Generation, training, and stem separation run on your Mac. No server, no account, built on ACE-Step 1.5 and Apple's MLX.

App Store · iPad + Mac$19.99 one-time · no subscriptionNo data collected
Apple SiliconmacOS 14+iPadOS 17+Local onlyNo telemetryRoyalty-free output
Why it exists

Privacy is a creative
tool too.

Silo Systems builds infrastructure for people who would rather not negotiate with their own software. Ohm Studio is the same discipline applied to making music: a studio that runs entirely on the machine you already own.

Offline by default

No cloud component. None.

Every generation, every training step, every analysis runs on your Mac via Apple's MLX framework. No server to talk to. No account to sign into. Models download once from public open-weights repositories, then operate locally for the lifetime of the app.

Privacy-preserving

Nothing leaves your machine.

No analytics SDK, no telemetry, no crash reporter beyond Apple's opt-in macOS diagnostics. The PrivacyInfo manifest declares no tracking domains. Your prompts, lyrics, datasets, and generated audio stay in your Application Support folder. Exactly where you put them.

Royalty-free output

Your audio is yours.

ACE-Step is an MIT-adjacent open-weights model. The audio you generate carries no per-stream licensing, no creator credits, no platform claim. Render it, sell it, sample it, throw it away. Ohm Studio doesn't appear in your release notes unless you put it there.

Make. Train. Separate.

Generation

ACE-Step 1.5,
running where you are.

Type a prompt. Drop in reference audio. Add style tags. Pick a duration. The generation runs in MLX on your Apple Silicon GPU and writes a file to your Application Support folder. There is no submit endpoint. There is no job ID. There is no rate limit. The first generation downloads the model weights from the disclosed public repository after you approve the download; every generation after that is offline.

local generation
Training

Train an adapter
on your own catalogue.

Drop a folder of audio into the Dataset tab. Choose a trainer: the fast compact backend for sketches, or the ACE-Step DiT LoRA/LoKR pipeline for serious work. Watch the loss curve. Cancel, pause, resume, delete; the job drawer is real. Trained adapters export as .ohmlora files. Bring them to another Mac without re-running the job.

adapter trained on device

Try the offline-first LoRA training simulator below. Set the hyperparameters (rank, alpha, learning rate), choose a dataset, and start the job to watch the loss curve converge.

LoRA Local Fine-Tuning Sandbox

Train a custom adapter (Low-Rank Adaptation) entirely on your device. Fine-tuning projects freeze the base model weight tensors, injecting compact rank-decomposed parameter blocks to map your private sound library onto ACE-Step 1.5 style vectors.

Hyperparameters
MLX CONFIG
Rank (r)
Alpha (α)16
Learning Rate
Train Target
Live Loss Convergence ProfileLoss: 2.1500
Awaiting training launch to plot convergence path...
Matrix: ΔW = B × Ar = 8
Adapter gradient activity map
Step 0 / 120Epoch 0 / 5ETA: --
Interactive Training Logslocal_mlx_gpu_attested
Silo MLX-Trainer v1.5.0 initialized.
System ready. Awaiting training dataset selection...
Separation

UVR-grade stems,
written to disk.

Ultimate Vocal Remover models run through the maintained audio-separator package. Vocals, drums, bass, instrumental: each written as a local file you can drag into any DAW. No upload step. No re-encoding. No watermark. When the optional UVR runtime isn't bundled, Ohm Studio falls back to local spectral stems with a typed message. Never a silent fake-track.

local UVR stems

Eight tracks of capability.

Capability

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
Capability

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
Capability

Adapter import / export.

.ohmlora packaging. Bring trained adapters across machines, share them with collaborators, or version them in your project archive.

.ohmlora format
Capability

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
Capability

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
Capability

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
Capability

Web editor.

Trim, reverse, time-stretch, fade, normalize, and export inside the app. Generated audio is editable before final export.

In-app editor
Capability

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
System & runtime

Concrete claims,
no asterisks.

Operating systemmacOS 14+ (Sonoma)Apple Silicon required
EngineACE-Step 1.5 · MLX SwiftOn-device inference
Network usageModel download onlyConsent-gated public repository
User dataLocal Application SupportNever transmitted

Pay once. Then keep working.

App Store · Mac + iPad
$19.99
one-time · every update included
no subscription · no usage tiers

No subscription. No usage tier. No credit purchase. One purchase, one app, with updates delivered through the App Store. Supported generation is available on Mac and iPad; training and separation remain full Mac studio workflows running on hardware you already own.

View on the App Store

Plain English, on file.

Questions.

No. After you approve and complete supported model setup, Ohm Studio runs offline. Generation stays on supported Mac and iPad hardware; training, stem separation, and the full analysis studio stay on your Apple Silicon Mac. There is no hosted inference server or account.

Make music on Mac and iPad.

Ohm Studio is a one-time $19.99 App Store purchase. No subscription, account, or cloud. Generate on Mac and iPad; use the full training and stem studio on your Apple Silicon Mac.

View on the App Store$19.99 · one-time · Mac + iPad
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