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ACE-Step Studio
A native Apple Silicon studio and Swift inference stack for local ACE-Step 1.5 music generation.
ACE-Step Studio brings the open ACE-Step 1.5 music-generation model into a native Apple-platform workflow. Instead of forcing creators through Python scripts, it provides a Swift inference library, a full CLI, and a SwiftUI studio for composing, running, reviewing, and organizing generated tracks locally.
The project is interesting because it bridges modern ML runtime work with a polished creator interface: MLX Swift inference, Hugging Face model/cache handling, Swift Argument Parser CLI coverage, Keychain token workflows, advanced preset import/export, job timelines, library folder sync, waveform thumbnail caching, Sparkle updates, and Sentry telemetry with secret scrubbing.