gitwtfhub

wtf is trdhiggsv3?

trindade7/trdhiggsv3 — explained in plain English

Analysis updated 2026-05-18

2PythonAudience · developerComplexity · 4/5LicenseSetup · hard

TL;DR

A ComfyUI node for local, privacy-preserving text-to-speech with voice cloning, built to handle European Portuguese accurately.

Mindmap

mindmap
  root((TrdHiggsV3))
    What it does
      Local text to speech
      Voice cloning
      European Portuguese focus
    Tech stack
      Python
      ComfyUI node
      Higgs Audio v3
      sglang omni backend
    How it works
      Chunks long text
      Synthesizes per chunk
      Stitches audio together
    Setup
      Clone into custom nodes
      Install requirements
      Run Higgs server first
    Limitations
      No request timeout
      No retry logic
      Long sentences not split

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

Why would anyone build with this?

REASON 1

Generate text-to-speech audio entirely locally for privacy-sensitive projects with no cloud uploads.

REASON 2

Clone a specific person's voice from a short reference recording and transcript.

REASON 3

Produce natural-sounding European Portuguese speech where most existing TTS models default to Brazilian Portuguese.

REASON 4

Synthesize long scripts by having the node automatically chunk and stitch text at sentence boundaries.

What's in the stack?

PythonComfyUIHiggs Audio v3sglang-omni

How it stacks up

trindade7/trdhiggsv30-bingwu-0/live-interpreter0cm-labs/tokenizer-benchmark
Stars222
LanguagePythonPythonPython
Setup difficultyhardmoderatemoderate
Complexity4/52/52/5
Audiencedevelopergeneralresearcher

Figures from each repo's GitHub metadata at analysis time.

How do you spin it up?

Difficulty · hard Time to first run · 1h+

Requires a separately running local Higgs Audio v3 inference server via sglang-omni before the ComfyUI node will work.

MIT licensed: free to use, modify, and redistribute, including commercially, as long as the copyright notice is kept.

Wtf does this do

TrdHiggsV3 is a custom node for ComfyUI that converts text into speech using a cloned voice, running entirely on your own machine with no cloud uploads. ComfyUI is a visual, node based tool commonly used for building AI workflows. This project was built after the author, a freelance developer, took on a job converting text to speech in a client's own voice, and found that most existing text to speech models were trained on Brazilian Portuguese rather than the European Portuguese the client actually spoke, so the accent and rhythm came out wrong. The node connects to a locally running speech model called Higgs Audio v3, served through a backend called sglang-omni, and sends it text to turn into audio. Because feeding a speech model a huge block of text at once tends to degrade quality, the node automatically splits long text into chunks of about 250 characters, breaking at sentence boundaries, generates audio for each chunk separately, then stitches the resulting audio clips back together into one continuous file. Voice cloning works by providing a short reference recording of the target speaker's voice, roughly five to fifteen seconds long, along with a written transcript of exactly what was said in that recording. The model uses this reference to match the accent, rhythm, and tone of the generated speech, which the author says makes a real difference for European Portuguese specifically. To install it, you clone the repository into ComfyUI's custom nodes folder and install its Python dependencies, then the node appears in ComfyUI under the Audio and TTS category. Using it requires the Higgs Audio v3 server to already be running locally before you use the node in a workflow. The author lists several known limitations honestly, including no timeout if the server hangs, no automatic retry after a network error, and the fact that very long single sentences are not split further even if they exceed what the model can handle well. The project is released under the MIT license.

Yoink these prompts

Prompt 1
Walk me through installing this node into my ComfyUI custom_nodes directory and getting the Higgs Audio v3 server running.
Prompt 2
Show me how to set up voice cloning using a short reference clip and its transcript in this node.
Prompt 3
Explain how the text chunking and audio stitching process works so I understand why long text is split.
Prompt 4
Suggest how I could add a request timeout to this node to fix the hanging issue mentioned in the known limitations.

Frequently asked questions

wtf is trdhiggsv3?

A ComfyUI node for local, privacy-preserving text-to-speech with voice cloning, built to handle European Portuguese accurately.

What language is trdhiggsv3 written in?

Mainly Python. The stack also includes Python, ComfyUI, Higgs Audio v3.

What license does trdhiggsv3 use?

MIT licensed: free to use, modify, and redistribute, including commercially, as long as the copyright notice is kept.

How hard is trdhiggsv3 to set up?

Setup difficulty is rated hard, with roughly 1h+ to a first successful run.

Who is trdhiggsv3 for?

Mainly developer.

View the repo → Decode another repo

This repo across BitVibe Labs

Don't trust strangers blindly. Verify against the repo.