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lowkeytea/scyllasband

Analysis updated 2026-05-18

6PythonAudience · developerComplexity · 2/5Setup · moderate

TLDR

A text to speech runtime that turns written text into spoken audio using ten voices and adjustable emotional delivery.

Mindmap

mindmap
  root((Scylla's Band))
    What it does
      Text to speech runtime
      Plays back trained model
      Outputs 24kHz audio
    Tech stack
      Python
      ONNX Runtime
      LiteRT experimental
    Use cases
      Generate voice lines
      Style mixing controls
      Multi voice dialogue
    Audience
      Developers
      Voice app builders

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What do people build with it?

USE CASE 1

Generate a spoken audio file from a line of text using one of ten built in voices.

USE CASE 2

Adjust how emotional or sarcastic a generated line sounds using six mixable style controls.

USE CASE 3

Turn a longer script into audio while the tool automatically manages pacing and pauses.

USE CASE 4

Produce a short multi voice scene by tagging each line with a different voice and language.

What is it built with?

PythonONNXONNX RuntimeLiteRT

How does it compare?

lowkeytea/scyllasbandaclark4life/home-depot-crawlaetheria-labs1/storefront-skills
Stars666
LanguagePythonPythonPython
Last pushed2014-08-10
MaintenanceDormant
Setup difficultymoderatemoderateeasy
Complexity2/52/53/5
Audiencedeveloperdeveloperpm founder

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

How do you get it running?

Difficulty · moderate Time to first run · 30min

Requires downloading a separate model bundle after install and picking a backend such as ONNX or LiteRT.

The README does not state a license.

In plain English

Scylla's Band is a runtime package for playing back speech from a text to speech model. It takes text you give it and turns it into an audio file, using a model that was already trained somewhere else. This repository only contains the code needed to run and use that model, not the code that trained it in the first place. The default way it runs is through ONNX, a common format for running trained models efficiently on a desktop or server. There is also an experimental alternative path called LiteRT meant for native and mobile testing, but you have to choose it directly since it is not the default option. The output is 24 kHz audio, and the tool understands four languages: US English, British English, Spanish, and Italian. It ships with ten built in voices with names like Ariadne, Felix, and Scylla, and lets you shape how a line sounds using six independent style controls: calm, joy, anger, sadness, sarcasm, and questioning. These are not fixed categories you pick one of, they are sliders you can mix together, so a line can sound calm and questioning at the same time. A separate setting called CFG scale controls how strongly the requested style pulls the delivery away from a neutral baseline, with the default acting as normal application and higher values pushing further, though very high values can start to sound unstable or distorted. You can also feed it longer scripts, and the tool automatically breaks the text into manageable chunks while keeping track of natural pauses and context between them. A group speak mode lets you write dialogue where each line is tagged with which voice, language, and style mix should read it, which is meant for putting together short scenes with multiple speakers. To try it, you install it with Python's package manager, download the model files with a built in command, then use a command line tool to list available voices or generate speech from text. It is written in Python and is still early stage, with six stars on GitHub so far.

Copy-paste prompts

Prompt 1
Help me install scyllasband with pip and download the default ONNX voice bundle.
Prompt 2
Show me the command to generate speech with the voice named scylla and a calm, questioning tone.
Prompt 3
Explain how the CFG emotion scale setting changes the delivery of a generated line.
Prompt 4
Write a group speak script with three different voices having a short conversation.
Prompt 5
What is the difference between the default ONNX backend and the experimental LiteRT backend here?

Frequently asked questions

What is scyllasband?

A text to speech runtime that turns written text into spoken audio using ten voices and adjustable emotional delivery.

What language is scyllasband written in?

Mainly Python. The stack also includes Python, ONNX, ONNX Runtime.

What license does scyllasband use?

The README does not state a license.

How hard is scyllasband to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is scyllasband for?

Mainly developer.

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