k2-fsa/OmniVoice
text-to-speech model by k2-fsa
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Model card & documentation
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OmniVoice is a massively multilingual zero-shot text-to-speech (TTS) model supporting over 600 languages. Built on a novel diffusion language model-style architecture, it delivers high-quality speech with superior inference speed, supporting voice cloning and voice design. To get started, install the omnivoice library: Step 1: Install PyTorch NVIDIA GPU Apple Silicon Step 2: Install OmniVoice You can use OmniVoice for zero-shot voice cloning as follows: For more generation modes (e.g., voice design), functions (e.g., non-verbal symbols, pronunciation correction) and comprehensive usage instructions, see our GitHub Repository. You can directly discuss on GitHub Issues. You can also scan the QR code to join our wechat group or follow our wechat official account. Our code is released under the Apache 2.0 License. The pre-trained…
Read the full model card ↗ · Preview checked 2026-10-30T04:12:24.619Z
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Model overview
k2-fsa/OmniVoice is a text-to-speech model repository published by k2-fsa on Hugging Face. The source reports the omnivoice library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-to-speech
- Library
- omnivoice
- Recent downloads (30 days)
- 2,783,931
- Cumulative likes
- 1,635
- Hugging Face trending score
- 38
- Reported safetensors parameters
- 612,577,288
- Architecture
- OmniVoice
- License
- Not reported — check the model card
- Access
- Not gated by Hugging Face
- Created
- 2026-03-30T13:43:33.000Z
- Last modified
- 2026-07-03T03:32:17.000Z
Compatibility and lineage
Reported languages: aae, aal, aao, ab, abb, abn, abr, abs, abv, acm, acw, acx, adf, adx, ady, aeb, aec, af, afb, afo, ahl, ahs, ajg, aju, ala, aln, alo, am, amu, an, anc, ank, anp, anw, aom, apc, apd, arb, arq, ars
Reported base models: Qwen/Qwen3-0.6B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:52:33.137Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.