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SPECIFICTION
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F5-TTS

github.com

WebmacOSLinuxAPISelf-hosted
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Spec score 7.8 #131 of 233 in Text-to-speech tools

Spec sheet

Purpose
F5-TTS is an open-source text-to-speech project that uses flow matching to generate fluent and faithful speech.Read 8 Oct 2026 · github.com
Platforms
web,linux,macos,api,self_hostedRead 20 Sep 2026 · github.com
Deployment
The README describes a deployment solution using Triton and TensorRT-LLM.Read 8 Oct 2026 · github.com
License
The code is released under the MIT License, while the pre-trained models are licensed under CC-BY-NC.Read 8 Oct 2026 · github.com
API access
YesRead 20 Sep 2026 · github.com
Commercial use
NoRead 20 Sep 2026 · github.com
Custom languages
The README links to custom inference instructions for adding language support.Read 8 Oct 2026 · github.com
Hardware and operating systems
The installation instructions cover NVIDIA, AMD, and Intel GPUs and Apple Silicon; the AMD ROCm instructions specify Linux.Read 8 Oct 2026 · github.com
Hardware requirements
The installation instructions cover NVIDIA, AMD, Intel, and Apple Silicon setups; the AMD ROCm instructions specify Linux.Read 8 Oct 2026 · github.com
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.Read 8 Oct 2026 · github.com
Interfaces
The project provides a Gradio web interface and command-line inference.Read 8 Oct 2026 · github.com
Model availability
The README links F5-TTS and E2 TTS base models on Hugging Face, Model Scope, and Wisemodel.Read 8 Oct 2026 · github.com
Model design
The project describes F5-TTS as a Diffusion Transformer with ConvNeXt V2 and includes E2 TTS, a Flat-UNet Transformer.Read 8 Oct 2026 · github.com
Related tools
The project acknowledges Vocos and BigVGAN as vocoders and FunASR and faster-whisper among its evaluation tools.Read 8 Oct 2026 · github.com
Requirements
The installation instructions call for Python 3.10 or newer and FFmpeg.Read 8 Oct 2026 · github.com
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.Read 8 Oct 2026 · github.com
Support guidance
The README recommends searching GitHub issues for help with problems encountered.Read 8 Oct 2026 · github.com
Training
Training and fine-tuning are supported through Hugging Face Accelerate or a Gradio app.Read 8 Oct 2026 · github.com
Voice cloning
YesRead 20 Sep 2026 · github.com
Ways to run
The project can be installed as a Python package, run from a local editable clone, or built and run with Docker.Read 8 Oct 2026 · github.com
Web interface
The project provides Gradio commands for launching a web interface and a share link.Read 8 Oct 2026 · github.com

Where Specifiction places it

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