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[ARTICLE · art-73676] src=huggingface.co ↗ pub= topic=artificial-intelligence verified=true sentiment=↑ positive

Inflect-v2: 3.9M and 9.3M parameter open-weight TTS models

Inflect-v2, two open-weight English TTS models at 3.9M and 9.3M parameters, generate speech multiple times faster than real-time on CPU while delivering quality competitive with larger systems like KittenTTS, Piper, and Supertonic-3. The models support CPU, CUDA, PyTorch, and ONNX under Apache 2.0.

read1 min views1 publishedJul 25, 2026
Inflect-v2: 3.9M and 9.3M parameter open-weight TTS models
Image: Hugging Face Blog

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Introducing Inflect-v2, two exceptionally small, open-weight English TTS models at just 3.9M and 9.3M parameters. Both generate speech multiple times faster than real-time on CPU. Despite their size, Inflect-v2 delivers quality that is competitive with much larger lightweight TTS systems, including KittenTTS, Piper, and Supertonic-3.

CPU, CUDA, PyTorch, and ONNX are supported. Apache 2.0.

See it for yourselves:

Try the Demos: CPU, CUDA, PyTorch, and ONNX are supported. Apache 2.0.

See it for yourselves:

owensong/Inflect-Micro-v2owensong/Inflect-Nano-v2Try the Demos:

source & further reading
huggingface.co — original article Claude and ChatGPT vs. a human annotator on "show, don't tell" features one definition, four very different thresholds How do I choose the right AI model from Hugging Face for my project? Grading fails with NameResolutionError to api-inference.huggingface.co — all correct answers marked wrong
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