#77th of 11 in Voice

F5-TTS

Flow-matching TTS and voice cloning with Gradio and CLI

Stars
15.4k
License
MIT
Last commit
Sep 2026
Last release
Jul 2026

Overview

Synthesizes speech from a reference clip and its transcript using the F5-TTS diffusion transformer (plus an E2 TTS reproduction). Runs as a pip package with a Gradio web app on port 7860, a CLI and a Docker image; a Triton and TensorRT-LLM runtime reaches RTF 0.039 on an L20 GPU. Suited to researchers and builders who want a trainable open TTS model.

Who it is for: Researchers and builders training or serving open TTS models

Strengths

  • pip install f5-tts; Gradio UI, CLI and a ghcr.io Docker image
  • Triton plus TensorRT-LLM runtime: 253 ms average latency at concurrency 2 on L20
  • Training and fine-tuning via Accelerate or a Gradio finetune app
  • PyTorch install documented for NVIDIA, AMD ROCm, Intel XPU and Apple Silicon

Weaknesses

  • Pretrained weights are CC-BY-NC (Emilia data); code is MIT, models are non-commercial
  • Reference audio needs a transcript, or an ASR model runs and uses more GPU memory
  • No compose file in the repo; the README's compose example assumes an NVIDIA GPU
  • Base checkpoints cover Chinese and English; other languages need community models

What it needs

  • Docker
  • Needs ffmpeg
  • Models: F5-TTS v1 Base, E2 TTS, Vocos and BigVGAN vocoders
  • port 7860

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