F5-TTS

C
C tier on Text-to-Speech SoftwareScore 6.4 · #82 of 216
Android app
Not listed
Free plan
No
Runs on
api, Linux, Mac, self-hosted, Web
github.com
The F5-TTS homepage

Summary

F5-TTS is ranked #82 of 216 in text-to-speech software on Everything Xiaomi. It runs on API, Linux, macOS, Self-hosted, Web.

Compared on text-to-speech software

Commercial use
Nogithub.com
Voice cloning
Yesgithub.com
API access
Yesgithub.com

Facts

Platforms
Web, Linux, macOS, API, self_hostedgithub.com · 20 Sept 2026
Purpose
F5-TTS is an open-source text-to-speech project that uses flow matching to generate fluent and faithful speech.github.com · 8 Oct 2026
Model design
The project describes F5-TTS as a Diffusion Transformer with ConvNeXt V2 and includes E2 TTS, a Flat-UNet Transformer.github.com · 8 Oct 2026
Inference features
The Gradio app supports basic text-to-speech with chunk inference, multi-style and multi-speaker generation, and voice chat powered by Qwen2.5-3B-Instruct.github.com · 8 Oct 2026
Custom languages
The README links to custom inference instructions for adding language support.github.com · 8 Oct 2026
Ways to run
The project can be installed as a Python package, run from a local editable clone, or built and run with Docker.github.com · 8 Oct 2026
Web interface
The project provides Gradio commands for launching a web interface and a share link.github.com · 8 Oct 2026
Training
Training and fine-tuning are supported through Hugging Face Accelerate or a Gradio app.github.com · 8 Oct 2026
Hardware requirements
The installation instructions cover NVIDIA, AMD, Intel, and Apple Silicon setups; the AMD ROCm instructions specify Linux.github.com · 8 Oct 2026
Deployment
The README describes a deployment solution using Triton and TensorRT-LLM.github.com · 8 Oct 2026
Related tools
The project acknowledges Vocos and BigVGAN as vocoders and FunASR and faster-whisper among its evaluation tools.github.com · 8 Oct 2026
License
The code is released under the MIT License, while the pre-trained models are licensed under CC-BY-NC.github.com · 8 Oct 2026
Support guidance
The README recommends searching GitHub issues for help with problems encountered.github.com · 8 Oct 2026
Interfaces
The project provides a Gradio web interface and command-line inference.github.com · 8 Oct 2026
Hardware and operating systems
The installation instructions cover NVIDIA, AMD, and Intel GPUs and Apple Silicon; the AMD ROCm instructions specify Linux.github.com · 8 Oct 2026
Model availability
The README links F5-TTS and E2 TTS base models on Hugging Face, Model Scope, and Wisemodel.github.com · 8 Oct 2026
Runtime benchmark
The README reports a 253 ms average latency for F5-TTS Base with Vocos at concurrency 2 on a single L20 GPU in its stated benchmark setup.github.com · 8 Oct 2026
Requirements
The installation instructions call for Python 3.10 or newer and FFmpeg.github.com · 8 Oct 2026

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Sources