MimikaStudio 2026.03.8
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MimikaStudio v2026.03.8 Release Notes
Release Date: March 18, 2026
Platform: macOS (Apple Silicon)
What's Fixed In v2026.03.8
- Restored Hebrew Dicta diacritization for Chatterbox Multilingual after the MLX backend migration.
- Fixed the regression where Hebrew Chatterbox generation could silently fall back to a broken tokenizer path and log:
Dicta.__init__() missing 1 required positional argument: 'model_path' - Rewired MimikaStudio's Chatterbox engine to preload the Dicta ONNX model into the tokenizer module actually used by the MLX runtime before model load.
User Impact
- Hebrew Chatterbox smoke tests now run without the Dicta initialization warning.
- Full Hebrew voice-clone renders complete successfully again on the patched MLX path.
- Existing Hebrew Dicta installs are now picked up from:
DICTA_ONNX_MODEL_PATH- bundled app model path
- Mimika runtime data model path
Technical Notes
- Updated the backend Chatterbox engine to resolve an explicit Dicta ONNX path instead of relying on a zero-argument
Dicta()constructor. - Patched both supported tokenizer import paths so Hebrew preprocessing is applied consistently across the MLX-backed Chatterbox runtime.
- Verified generation with:
- a short Hebrew smoke test
- a full Hebrew
parashat_hashavua.txtrender using a custom uploaded reference voice
Previous Release: v2026.03.7
- Sandboxed release entitlement update and release-build hardening.
Distribution Notes
Unsigned DMG (Apple Gatekeeper)
As of March 18, 2026, the MimikaStudio DMG is not yet signed/notarized by Apple.
macOS may block first launch until you explicitly allow it in security settings.
- Open the DMG and drag MimikaStudio.app to Applications.
- In Applications, right-click MimikaStudio.app and select Open.
- Click Open in the warning dialog.
- If macOS still blocks launch, go to: System Settings -> Privacy & Security -> Open Anyway (for MimikaStudio), then confirm with password/Touch ID.
- On first launch, wait for the bundled backend to start.
- On first use, click Download for required models in-app.