BreezeBlue/Breeze-TTS-2

text-to-speech model by BreezeBlue

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Breeze TTS 2 is an open-weight text-to-speech model built for real-time interaction. It ranks #1 among open-weight models on the Artificial Analysis TTS leaderboard, while outperforming frontier proprietary systems. Its open-ended natural-language instruction-following capability supports reference-free voice design and reference-guided voice direction, while ultra-low-latency streaming enables responsive, expressive interaction. Download the inference code: Install the dependencies: All required model components are included in the Breeze TTS 2 checkpoint. For the tested CUDA environment, build the included Docker image: The default image targets H100/Hopper (sm90). For A100: Clone a speaker from clean reference audio and its exact transcript. Reference audio should contain clean speech with minimal background noise. Create a voice from a natural-language description without reference audio. Match the instruction language to the target text. Use --cfg-scale 4 to strengthen instruction-following. Keep the identity of a reference speaker while directing tone, emotion, pace, and delivery. Use --cfg-scale 4 to strengthen…

BreezeBlue/Breeze-TTS-2 on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-30T06:33:30.587Z

Inside the original model card — Document outline
  1. 📰 News
  2. 📖 Introduction
  3. ✨ Highlights
  4. 🚀 Quick Start
  5. Requirements
  6. Installation
  7. 🎙️ Voice Clone
  8. English
  9. Chinese
  10. 🎨 Voice Design
  11. English
  12. Chinese

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Model overview

BreezeBlue/Breeze-TTS-2 is a text-to-speech model repository published by BreezeBlue on Hugging Face. The source reports the transformers 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
transformers
Recent downloads (30 days)
20,651
Cumulative likes
905
Hugging Face trending score
113
Reported safetensors parameters
3,466,363,713
Architecture
BreezeForConditionalGeneration
License
other
Access
Not gated by Hugging Face
Created
2026-08-25T16:39:34.000Z
Last modified
2026-09-09T18:59:45.000Z

Compatibility and lineage

Reported languages: en, zh

Base-model lineage was not included.

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.

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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.

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