Duplicate from Nooder/supertonic-2-coreml

Co-authored-by: Nooder <Nooder@users.noreply.huggingface.co>

.gitattributes

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+# CoreML and model binaries (Git LFS recommended).
+*.mlpackage/** filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.mlmodelc/** filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

LICENSE

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+BigScience Open RAIL-M License
+dated August 18, 2022
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+arbitrarily-targeted use).

NOTICE

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+This repository contains CoreML exports derived from the Supertonic 2 model.
+
+Attribution:
+- Upstream model: Supertone/supertonic-2 (OpenRAIL-M)
+- Upstream sample code: supertone-inc/supertonic (MIT)
+
+Changes:
+- CoreML conversion and packaging
+- >=8-bit quantized variants
+- iOS/macOS demo app and tests (see GitHub repo)

README.md

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+---
+license: openrail
+language:
+  - en
+  - ko
+  - es
+  - pt
+  - fr
+pipeline_tag: text-to-speech
+tags:
+  - coreml
+  - ios
+  - macos
+  - tts
+  - supertonic
+  - mlprogram
+---
+
+# Supertonic-2 CoreML
+
+This repository provides CoreML exports of **Supertonic 2** for macOS and iOS.
+It focuses on on-device inference with multiple >=8-bit quantization variants.
+
+**GitHub repo (code + demo app):** https://github.com/Nooder/supertonic-2-coreml
+
+## Code & demo
+
+The GitHub repo contains:
+- **Swift demo app** (CoreML pipeline + UI): `supertonic2-coreml-ios-test/`
+- **CoreML tooling + tests**: `scripts/`
+- **Docs**: `docs/`
+
+## What is included
+
+- `models/`: CoreML model packages by variant (>=8-bit only)
+- `resources/`: voice styles, embeddings, and text normalization assets
+- `manifest.json`: list of artifacts with checksums and sizes
+- `SHA256SUMS`: sha256 checksums for all files
+- `tests/`: smoke tests for CoreML model loading
+
+## Quickstart (iOS / macOS)
+
+1. Pick a variant from `models/` (see the quant matrix in `docs/quant-matrix.md`).
+2. Bundle the corresponding CoreML packages and `resources/` into your app.
+3. Use the Swift demo app in the GitHub repo `supertonic-2-coreml` as the
+   reference implementation.
+
+## Required files (checklist)
+
+Bundle the following into your app:
+
+- CoreML packages for your chosen variant:
+  - `duration_predictor_mlprogram.mlpackage`
+  - `text_encoder_mlprogram.mlpackage`
+  - `vector_estimator_mlprogram.mlpackage`
+  - `vocoder_mlprogram.mlpackage`
+- `resources/voice_styles/`
+- `resources/embeddings/`
+- `resources/onnx/unicode_indexer.json`
+- `resources/onnx/tts.json`
+
+## Minimal iOS integration
+
+```swift
+// Example usage (see demo app for full UI + playback)
+let service = try TTSService(computeUnits: .all)
+let result = try service.synthesize(
+    text: "Hello from CoreML!",
+    language: .en,
+    voiceName: "F1",
+    steps: 20,
+    speed: 1.0,
+    silenceSeconds: 0.3
+)
+print("WAV file:", result.url)
+```
+
+To select a specific variant, update the CoreML folder name in
+`TTSService` (the demo defaults to `coreml_int8`).
+
+## Example: iOS 18 `int8_both`
+
+This variant uses int8 weights for multiple stages on iOS 18.
+
+Bundle these files in your app:
+
+```
+Resources/
+  coreml_ios18_int8_both/
+    duration_predictor_mlprogram.mlpackage
+    text_encoder_mlprogram.mlpackage
+    vector_estimator_mlprogram.mlpackage
+    vocoder_mlprogram.mlpackage
+  voice_styles/
+  embeddings/
+  onnx/
+    unicode_indexer.json
+    tts.json
+```
+
+In the Swift demo app, update the CoreML folder name to point at
+`coreml_ios18_int8_both` (the app defaults to `coreml_int8`).
+
+## Choosing a variant
+
+Use the folder naming to select the right artifact:
+
+- `coreml_int8`: faster, lower fidelity
+- `coreml_compressed`: smaller memory (linear8)
+- `coreml_ios18_*`: for iOS 18 CoreML runtime (>=8-bit only)
+
+4-bit variants are intentionally excluded due to quality.
+
+## Variant matrix (quick view)
+
+| Variant folder | Quantization (by name) | Intended target | Notes |
+| --- | --- | --- | --- |
+| `coreml` | full precision (mixed) | general | baseline quality |
+| `coreml_int8` | int8 (all stages) | general | faster, lower fidelity |
+| `coreml_compressed` | linear8 | general | smaller memory |
+| `coreml_ios18` | full precision (mlprogram) | iOS 18+ | best quality on iOS 18 |
+| `coreml_ios18_int8_vocoder_only` | int8 (vocoder only) | iOS 18+ | balanced |
+| `coreml_ios18_int8_both` | int8 (multiple stages) | iOS 18+ | fastest, more loss |
+| `coreml_compressed_ios18` | linear8 | iOS 18+ | smallest memory |
+
+For deeper guidance, see `docs/compatibility-matrix.md` and `docs/quant-matrix.md`.
+
+## Steps vs. quality (quick guide)
+
+| Steps | Speed | Quality |
+| --- | --- | --- |
+| 10 | fastest | lowest |
+| 20 | balanced | good |
+| 30 | slowest | best |
+
+## Troubleshooting
+
+- **Missing resource error:** Ensure `resources/` folders are bundled and named exactly.
+- **Model not found:** Confirm the CoreML folder name (e.g., `coreml_ios18_int8_both`).
+- **Fails to load on device:** Check iOS deployment target matches your variant.
+
+## Tests
+
+The `tests/test_coreml_models.py` script runs a simple smoke test that loads
+all stages (duration predictor, text encoder, vector estimator, vocoder) with
+dummy inputs.
+
+## Attribution and license
+
+This CoreML export is derived from **Supertone/supertonic-2**.
+Model weights are licensed under **OpenRAIL-M** (see `LICENSE`).
+Sample code is MIT-licensed (see `NOTICE` and `UPSTREAM.md`).

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UPSTREAM.md

@@ -0,0 +1,24 @@
+# Upstream Provenance (HF)
+
+This CoreML package is derived from the original Supertonic 2 release.
+
+## Sources
+
+- Hugging Face: `Supertone/supertonic-2`
+- GitHub: `supertone-inc/supertonic`
+
+## License summary
+
+- **Model weights:** OpenRAIL-M (see `LICENSE`)
+- **Sample code:** MIT (see upstream repo)
+
+## Modifications
+
+- CoreML ML Program conversion and packaging
+- >=8-bit quantization variants
+- iOS/macOS demo app (hosted in GitHub repo)
+
+## Provenance notes
+
+- Upstream revision: unknown (local snapshot without VCS metadata).
+- Quantization recipe: `scripts/compress_coreml.py` in the GitHub repo.

config.json

@@ -0,0 +1,5 @@
+{
+  "model_name": "Supertonic 2",
+  "model_type": "onnx",
+  "description": "This is a stub config for Hugging Face download counting. The actual model is located at onnx/"
+}

docs/compatibility-matrix.md

@@ -0,0 +1,37 @@
+# CoreML Compatibility Matrix
+
+This matrix describes the CoreML artifact families and how to pick the right
+folder for your device target. It is based on the folder names under
+`models/supertonic-2/`. Always validate with your deployment target in Xcode.
+
+Legend:
+- **mlprogram**: Core ML ML Program packaged as `.mlpackage` (modern CoreML).
+- **nn**: legacy neural network `.mlmodel` (older CoreML format).
+- **ios18**: name indicates a build tuned for iOS 18 runtime features.
+
+## Variant overview
+
+| Variant folder | Format | Intended OS target | Notes |
+| --- | --- | --- | --- |
+| `coreml` | mixed (nn + mlprogram) | general | Includes legacy `.mlmodel` and mlprogram artifacts. |
+| `coreml_int8` | mlprogram | general | Full int8 pipeline, faster but lower fidelity. |
+| `coreml_compressed` | mlprogram | general | Linear8 compressed weights for smaller memory. |
+| `coreml_ios18` | mlprogram | iOS 18+ | Uses iOS 18 CoreML runtime. |
+| `coreml_ios18_int8_vocoder_only` | mlprogram | iOS 18+ | Only the vocoder is int8 (per naming). |
+| `coreml_ios18_int8_both` | mlprogram | iOS 18+ | Multiple stages int8 (per naming). |
+| `coreml_compressed_ios18` | mlprogram | iOS 18+ | Linear8-only subset (linear4 excluded). |
+
+## Excluded variants (not published)
+
+These are intentionally omitted due to quality concerns:
+- `coreml_ios18_int4_only`
+- `coreml_ios18_int4_int8`
+- any package with `int4` or `linear4` in its filename
+
+## Validation checklist
+
+1. Open the target `.mlpackage` in Xcode and confirm it compiles for your
+   deployment target.
+2. Run the iOS/macOS demo app with your target device and compute units.
+3. Compare audio quality and latency across variants using identical input
+   text and step counts.

docs/quant-matrix.md

@@ -0,0 +1,45 @@
+# Quantization Matrix (CoreML)
+
+This repository publishes only >=8-bit CoreML artifacts. 4-bit variants are
+excluded due to quality.
+
+## Naming rules
+
+The folder name encodes the intended runtime and quantization approach:
+
+- `coreml_*`: generic CoreML export.
+- `coreml_ios18_*`: tuned for iOS 18 CoreML runtime.
+- `int8`: int8 weights for one or more stages.
+- `vocoder_only`: only the vocoder is quantized (per naming).
+- `both`: multiple stages are quantized (per naming).
+- `compressed` / `linear8`: linear 8-bit compression for smaller memory.
+
+## Variant table
+
+| Variant folder | Quantization (by name) | Expected tradeoff | When to use |
+| --- | --- | --- | --- |
+| `coreml` | full precision (mixed) | best quality, larger | baseline quality checks |
+| `coreml_int8` | int8 (all stages) | faster, smaller | general fast inference |
+| `coreml_compressed` | linear8 | smallest memory | low-memory devices |
+| `coreml_ios18` | full precision (mlprogram) | best quality on iOS 18 | iOS 18+ devices |
+| `coreml_ios18_int8_vocoder_only` | int8 (vocoder only) | balanced | iOS 18+ with minimal quality loss |
+| `coreml_ios18_int8_both` | int8 (multiple stages) | faster, more loss | iOS 18+ when latency matters |
+| `coreml_compressed_ios18` | linear8 (subset) | smallest memory | iOS 18+ with tight memory |
+
+## Steps vs. quality
+
+The `steps` parameter controls the denoiser iterations:
+- Fewer steps = faster, lower fidelity.
+- More steps = slower, higher fidelity.
+
+Recommended starting points:
+- **Fast preview:** 10 steps
+- **Balanced:** 20 steps
+- **Higher quality:** 30 steps
+
+## Excluded variants
+
+The following are intentionally not published:
+- `coreml_ios18_int4_only`
+- `coreml_ios18_int4_int8`
+- any package with `int4` or `linear4` in its filename

docs/release-checklist.md

@@ -0,0 +1,33 @@
+# Release Checklist (GitHub + Hugging Face)
+
+## Content sanity
+
+- [ ] `README.md` updated (overview + quickstart)
+- [ ] `hf/README.md` (model card) concise and accurate
+- [ ] `LICENSE`, `NOTICE`, `CITATION.cff`, `UPSTREAM.md` present and accurate
+- [ ] `docs/compatibility-matrix.md` + `docs/quant-matrix.md` reflect current artifacts
+- [ ] `CHANGELOG.md` has a versioned entry
+
+## Artifacts
+
+- [ ] 4-bit variants excluded (no `int4`/`linear4`)
+- [ ] All intended CoreML variants present (mlprogram packages)
+- [ ] Resources present (voice styles, embeddings, indexers)
+- [ ] `manifest.json` + `SHA256SUMS` regenerated
+
+## Tests
+
+- [ ] Smoke test passes:
+  - `python3 scripts/test_coreml_models.py` (local repo)
+  - `python3 scripts/test_coreml_models.py --bundle-dir hf_publish` (HF bundle)
+
+## GitHub release
+
+- [ ] Tag created (e.g., `v0.1.0`)
+- [ ] Tag pushed to GitHub
+
+## Hugging Face
+
+- [ ] `hf_publish/` regenerated
+- [ ] HF repo sync complete
+- [ ] `git lfs ls-files` shows large files tracked

manifest.json

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