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ScriptsMar 31, 2026·2 min de lecture

F5-TTS — Flow Matching Text-to-Speech

F5-TTS is a diffusion transformer TTS system with flow matching. 14.3K+ GitHub stars. Multi-speaker, voice chat, Gradio UI, CLI inference, 0.04 RTF on L20 GPU. MIT code.

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Introduction

F5-TTS is a diffusion transformer-based text-to-speech system using flow matching with ConvNeXt V2 architecture, optimized for fast training and inference. With 14,300+ GitHub stars, F5-TTS delivers multi-speaker and multi-style speech synthesis, voice chat powered by Qwen2.5-3B-Instruct, a Gradio web interface for inference and fine-tuning, and CLI inference. With Triton/TensorRT-LLM optimization, it achieves 0.0394 real-time factor on L20 GPU. MIT licensed code with CC-BY-NC pre-trained models.

Best for: Researchers and developers needing high-quality multi-speaker TTS with voice cloning Works with: Claude Code, OpenAI Codex, Cursor, Gemini CLI, Windsurf Optimized: 0.04 RTF on L20 GPU with TensorRT-LLM

Key Features

  • Flow matching: Diffusion transformer with ConvNeXt V2 for natural speech
  • Multi-speaker: Multiple voices and speaking styles
  • Voice chat: Interactive voice conversation powered by Qwen2.5-3B
  • Gradio UI: Web interface for inference and fine-tuning
  • CLI inference: Command-line tool with custom configs
  • Ultra-fast: 0.0394 RTF on L20 GPU with TensorRT-LLM
  • Docker support: Containerized deployment ready

FAQ

Q: What is F5-TTS? A: F5-TTS is a diffusion transformer TTS with 14.3K+ stars using flow matching. Multi-speaker, voice chat, Gradio UI, 0.04 RTF on L20 GPU. MIT code, CC-BY-NC models.

Q: How do I install F5-TTS? A: Run pip install f5-tts. Use f5-tts_infer-cli for command-line or f5-tts_infer-gradio for web UI.

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Source et remerciements

Created by SWivid. Code: MIT, Models: CC-BY-NC. SWivid/F5-TTS — 14,300+ GitHub stars

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