The fp32 onnx/model.onnx from onnx-community/Kokoro-82M-v1.0-ONNX at revision 1939ad2a, with the graph cut at decoder.generator.convpost. The weights are unchanged. Why: on onnxruntime-web 1.27 WebGPU, the full graph's iSTFT tail (ConvTranspose/ScatterND) returns zeros for every sample past about 65,528 (2.7 s at 24 kHz). Callers then have to feed short phrases, and that audibly flattens the prosody. Inputs: inputids int64 [1, n], style float32 [1, 256], speed float32 [1] (same as upstream). iSTFT to run in the caller (nfft 20, hop 5; istftbasis.json = the 22x20 inverse basis): This matches the full graph's waveform to within 6e-7 (max abs, CPU). Kokoro-82M is by hexgrad, released under…
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Jeremie Strand
skillsafeai
Models in Library1
Datasets in Library0
Models on Hugging Face7
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Published tasks: Text to speech.
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