| library_name: onnx | |
| pipeline_tag: text-to-speech | |
| tags: | |
| - onnx | |
| - onnxruntime | |
| - text-to-speech | |
| - magpie-tts | |
| - nemo | |
| license: other | |
| # ONNX Magpie Runtime Bundle | |
| This repository contains ONNX Runtime artifacts for a local MagpieTTS conversion. | |
| It is intended for use with the `onnx-magpie` runtime and does not require NeMo | |
| or PyTorch at inference time. | |
| ## Files | |
| - `magpie.pipeline.json`: runtime pipeline manifest. | |
| - `magpie_text_context.onnx`: text/speaker context graph. | |
| - `magpie_decoder_prefix.onnx`: autoregressive decoder prefix graph. | |
| - `magpie_codec_decoder.onnx`: codec-token to waveform graph. | |
| - `magpie.pipeline.kv-cache.json`: optional explicit-KV decoder pipeline manifest. | |
| - `tokenizers/`: dependency-free tokenizer artifacts. | |
| - `onnx-magpie-hub.json`: download manifest consumed by the runtime. | |
| ## Runtime | |
| ```powershell | |
| python scripts/run_onnx_magpie.py --hf-repo mweinbach1/onnx-magpie --text "Hello world." --wav-output speech.wav | |
| ``` | |
| The original MagpieTTS checkpoint is governed by NVIDIA's model license. Verify | |
| that your use of these converted artifacts complies with the upstream terms. | |