| --- |
| license: apache-2.0 |
| language: |
| - en |
| pipeline_tag: text-to-speech |
| base_model: owensong/Inflect-Micro-v2 |
| model_name: Inflect-Micro-v2-ONNX |
| tags: |
| - onnx |
| - onnxruntime |
| - text-to-speech |
| - speech-synthesis |
| - local-tts |
| - cpu |
| - cuda |
| - directml |
| - edge-ai |
| - small-model |
| - vits |
| - 24khz |
| inference: false |
| --- |
| |
| # Inflect-Micro-v2 ONNX |
|
|
| Official, verified FP32 ONNX Runtime export of |
| [Inflect-Micro-v2](https://huggingface.co/owensong/Inflect-Micro-v2). |
| This repository is a **format export only**: no training, pruning, or |
| quantization was applied. |
|
|
| - **Complete neural weights:** approximately 37.75 MB |
| - **Output:** 24 kHz mono waveform |
| - **Providers:** CPU, CUDA, or DirectML through ONNX Runtime |
| - **Frontend:** Python and eSpeak-ng |
| - **License:** Apache 2.0 |
|
|
| The learned model is split into: |
|
|
| | Graph | Purpose | Size | |
| | --- | --- | ---: | |
| | [`onnx/duration.onnx`](onnx/duration.onnx) | Tokens to aligned acoustic distribution | 7.32 MB | |
| | [`onnx/decode.onnx`](onnx/decode.onnx) | Acoustic distribution and seeded noise to waveform | 30.43 MB | |
|
|
| ## Quick start |
|
|
| ```bash |
| python -m pip install -r onnx/requirements.txt |
| python onnx/inference_onnx.py \ |
| --text "A small voice can still have something meaningful to say." \ |
| --output sample.wav \ |
| --provider cpu |
| ``` |
|
|
| See the complete [ONNX guide](onnx/README.md) for the Python API, provider |
| selection, long-text behavior, parity measurements, checksums, and |
| reproducible export instructions. |
|
|
| ## Verification |
|
|
| The graphs pass ONNX checker validation, dynamic-length inference, |
| short- and long-form synthesis, seed determinism, and direct numerical parity |
| testing against the canonical PyTorch checkpoint. See |
| [`onnx/parity_report.json`](onnx/parity_report.json) and |
| [`onnx/SOURCE.json`](onnx/SOURCE.json). |
|
|
| The canonical architecture, evaluation, audio samples, PyTorch checkpoint, and |
| project documentation remain at |
| [owensong/Inflect-Micro-v2](https://huggingface.co/owensong/Inflect-Micro-v2). |
|
|
