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kitten-tts-2

KittenML

A 1.7B speech language model with in-context voice cloning. It reads text and writes S3 codec tokens, which a vocoder turns into 24 kHz audio. Everything the model needs is in this repository, so no Hugging Face login is required. `m.available_voices` lists all 115. Bella, Jasper, Luna, Bruno, Rosie, Hugo, Kiki and Leo are the same speakers as in KittenTTS 0.8, so existing code keeps working.

Speech synthesis
Input Text→ Output Audio
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Kitten TTS is an open-source realistic text-to-speech model with 40 million parameters and around 40MB of filesize.

Category pending
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基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Kitten TTS is an open-source realistic text-to-speech model with 80 million parameters and around 79MB of filesize.

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Kitten TTS is an open-source realistic text-to-speech model with just 15 million parameters, designed for lightweight deployment and high-quality voice synthesis. - **Ultra-lightweight**: Model size less than 25MB - **CPU-optimized**: Runs without GPU on any device - **High-quality voices**: Several premium voice options available - **Fast inference**: Optimized for real-time speech synthesis - [x] Release a preview model - [ ] Release the fully trained model weights - [ ] Release mobile SDK - [ ] Release web version

Category pending
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基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Basic profile indexed · More details to follow

Category pending
Input Not verified→ Output Not verified
Price not verifiedCheck multimodal and channel pricing separately
View details ↗
Source / docs ↗

Kitten TTS is an open-source realistic text-to-speech model with 15 million parameters and around 50MB of filesize.

Category pending
Input Not verified→ Output Not verified
Price not verifiedCheck multimodal and channel pricing separately
View details ↗
Source / docs ↗

Kitten TTS is an open-source realistic text-to-speech model with 15 million parameters and around 25MB of filesize.

Category pending
Input Not verified→ Output Not verified
Price not verifiedCheck multimodal and channel pricing separately
View details ↗
Source / docs ↗
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