Self-contained ONNX export of k2-fsa/OmniVoice for CPU inference, including voice cloning: a dynamic-INT8 Qwen3-0.6B diffusion backbone, the Higgs audio-v2 encoder and vocoder in FP32, and the tokenizer/config files. Nothing is downloaded from any other model repo. Backbone: inputids[B,8,S] int64, audiomask[B,S] bool, attentionmask[B,1,S,S] bool → logits[B,8,S,1025]. Encoder: wav[1,1,N] float32 (24 kHz, N a multiple of 960) → audiocodes[1,8,N/960] int64. Vocoder: audiocodes[B,8,T] int64 → audiovalues[B,1,960T] (24 kHz). B, S, N and T are dynamic. --threads should be the physical core count. The omnivoice package supplies only the diffusion loop and text front-end code; every weight comes…
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gaber
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Models on Hugging Face3
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Published tasks: Text to speech.
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