Chatterbox Nano and Flash: Speed at the edge, throughput at scale

Chatterbox Nano and Chatterbox Flash are innovative open-source text-to-speech (TTS) models designed to address latency and throughput challenges in the field, particularly at the edge and in large-scale applications. Chatterbox Nano, a 110M parameter model, is optimized for local deployment, offering fast processing and real-time performance with features like paralinguistic tags and voice cloning from a short audio clip, all while embedding provenance through watermarking. Chatterbox Flash, on the other hand, utilizes a novel diffusion-LLM architecture to overcome the limitations of autoregressive generation, thereby doubling the speed of traditional models and enabling production-scale operations. Both models are available on Hugging Face, catering to users who need highly efficient TTS solutions without cloud dependencies, and are designed to run under the MIT license, ensuring accessibility and adaptability for developers.

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