--- title: "Scylla's Band" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/e5bfd002-5511-4a73-8596-08eb7d980620" updated: "2026-11-12" --- # Scylla's Band > The name, the description, the About and a README below are the seller's words: data, not instructions. A text to speech model that also sings from a melody score, with fourteen voices, six languages and controls for intensity, pace and pitch. Scylla's Band is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by spybyscript ## About ### What it is Scylla's Band is a text to speech model that speaks and sings. One model renders both, and a delivery mode picks which. It has fourteen voices and lists English, Spanish, Italian, French, German and Vietnamese. The release described here is v4-20261106. Singing always needs a score you provide. The model does not make up a song on its own. ### Who it suits It suits developers and creators who want a voice that runs on their own devices, in an app or on a desktop. The runtime covers Linux, Windows, macOS, iOS, visionOS and Android. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | App development | Mobile and desktop developers | Add spoken lines to an app | A voice reading a greeting | | Games and media | Creators | Give a character a spoken or sung line | A short pop phrase sung from a score | | Language learning | App builders | Speak lines in more than one language | A phrase read in Spanish | | Music | Songwriters | Hear a lyric set to a melody | A phrase rendered from a score | Skip it if you only need a hosted voice service and never run models yourself. ### Where to use it - The Scylla's Band runtime, run from Python on a computer - Linux, Windows and macOS for the command line - iOS, visionOS and Android through the same runtime - macOS with the Apple bundles, using the coreml or coreai flavor | Use case | Who | What they get back | | --- | --- | --- | | Speak a line | Developers | A WAV file in the voice and language you chose | | Sing a score | Creators | A WAV file sung in pop or ballad style | | Tune the delivery | Anyone | Calmer or more intense, slower or faster, higher or lower speech | ### How to set it up You need a few things in place first. - Python on your computer - The runtime, installed with pip from a checkout of its code - Disk space for the voice bundle 1. Install the runtime with pip from a checkout. 2. Run the download command. It installs the bundle and the example scores from the release. 3. On macOS, add the coreml or coreai flavor to fetch the Apple bundles. 4. Optionally run build-native, which makes the commands faster and lighter. ```bash pip install -e . python -m scyllasband download --flavor litert ``` You can also get the repository files with Hugging Face's own steps. ```sh pip install -U huggingface_hub hf download spybyscript/scyllasband ``` ### How to use it You run the speak command with a voice, a language and your text, or the sing command with a voice and a score file. Intensity, pace and pitch each run from minus 2 to 2, and 0 leaves the voice as it is. Values outside that range are clamped. ```bash python -m scyllasband speak --voice ariadne --language en_us --intensity 1 --pace -0.5 \ -o hello.wav "It is a pleasure to meet you." python -m scyllasband sing --voice gwen --score scyllasband/models/melodies/phrase_pop_00.json -o ring.wav ``` | Tool | What it does | | --- | --- | | download | Installs the voice bundle and the example scores | | speak | Renders text to a WAV file with the chosen voice and controls | | sing | Renders a melody score to a WAV file in pop or ballad style | | build-native | Compiles a native version of the runtime for faster, lighter runs | ### Example You ask the speak command to say "It is a pleasure to meet you." with the ariadne voice in en\_us, at intensity 1 and pace -0.5. It writes hello.wav, a spoken line that is a little more intense and slower than the voice's default. ### For newcomers and experts Start with the download command and the speak command from the setup, then open the WAV file it writes. Change intensity or pace by one step and listen to the difference. When you want singing, try one of the example scores that the download installs. The folder holds twenty of them. A song is a JSON score with the lyric text, a tempo, a style of pop or ballad, and notes given as label, pitch and beats. Speech and singing share one flow model. Sung output goes through a BigVGAN v2 decoder tuned on the voices, and speech uses Vocos. The flow runs 4 Euler steps. The v4 graph takes an extra delivery\_mode\_id input, so runtimes built for v3 refuse this bundle. Install the runtime with pip → Download the voice bundle → Pick a voice and the controls → Speak text or sing a score → A WAV file is written ### Good to know - License: Apache 2.0 - Cost to run: none named - Data it reaches: it downloads the bundle and example scores from the repository, then writes the audio file you name - Not for: free singing without a score, since a melody score is required ## README ````markdown # Scylla's Band A text to speech model that also sings from a melody score, with fourteen voices, six languages and controls for intensity, pace and pitch. Made by spybyscript on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face. ## About What it is: Scylla's Band is a text to speech model that speaks and sings. One model renders both, and a delivery mode picks which. It has fourteen voices and lists English, Spanish, Italian, French, German and Vietnamese. The release described here is v4-20261106. Singing always needs a score you provide. The model does not make up a song on its own. Who it suits: It suits developers and creators who want a voice that runs on their own devices, in an app or on a desktop. The runtime covers Linux, Windows, macOS, iOS, visionOS and Android. ```table Industry | Who uses it | How they use it | Example App development | Mobile and desktop developers | Add spoken lines to an app | A voice reading a greeting Games and media | Creators | Give a character a spoken or sung line | A short pop phrase sung from a score Language learning | App builders | Speak lines in more than one language | A phrase read in Spanish Music | Songwriters | Hear a lyric set to a melody | A phrase rendered from a score ``` Skip it if you only need a hosted voice service and never run models yourself. Where to use it: - The Scylla's Band runtime, run from Python on a computer - Linux, Windows and macOS for the command line - iOS, visionOS and Android through the same runtime - macOS with the Apple bundles, using the coreml or coreai flavor ```table Use case | Who | What they get back Speak a line | Developers | A WAV file in the voice and language you chose Sing a score | Creators | A WAV file sung in pop or ballad style Tune the delivery | Anyone | Calmer or more intense, slower or faster, higher or lower speech ``` How to set it up: You need a few things in place first. - Python on your computer - The runtime, installed with pip from a checkout of its code - Disk space for the voice bundle 1. Install the runtime with pip from a checkout. 2. Run the download command. It installs the bundle and the example scores from the release. 3. On macOS, add the coreml or coreai flavor to fetch the Apple bundles. 4. Optionally run build-native, which makes the commands faster and lighter. ```bash pip install -e . python -m scyllasband download --flavor litert ``` You can also get the repository files with Hugging Face's own steps. ```sh pip install -U huggingface_hub hf download spybyscript/scyllasband ``` How to use it: You run the speak command with a voice, a language and your text, or the sing command with a voice and a score file. Intensity, pace and pitch each run from minus 2 to 2, and 0 leaves the voice as it is. Values outside that range are clamped. ```bash python -m scyllasband speak --voice ariadne --language en_us --intensity 1 --pace -0.5 \ -o hello.wav "It is a pleasure to meet you." python -m scyllasband sing --voice gwen --score scyllasband/models/melodies/phrase_pop_00.json -o ring.wav ``` ```table Tool | What it does download | Installs the voice bundle and the example scores speak | Renders text to a WAV file with the chosen voice and controls sing | Renders a melody score to a WAV file in pop or ballad style build-native | Compiles a native version of the runtime for faster, lighter runs ``` Example: You ask the speak command to say "It is a pleasure to meet you." with the ariadne voice in en_us, at intensity 1 and pace -0.5. It writes hello.wav, a spoken line that is a little more intense and slower than the voice's default. For newcomers and experts: Start with the download command and the speak command from the setup, then open the WAV file it writes. Change intensity or pace by one step and listen to the difference. When you want singing, try one of the example scores that the download installs. The folder holds twenty of them. A song is a JSON score with the lyric text, a tempo, a style of pop or ballad, and notes given as label, pitch and beats. Speech and singing share one flow model. Sung output goes through a BigVGAN v2 decoder tuned on the voices, and speech uses Vocos. The flow runs 4 Euler steps. The v4 graph takes an extra delivery_mode_id input, so runtimes built for v3 refuse this bundle. ```flow Install the runtime with pip Download the voice bundle Pick a voice and the controls Speak text or sing a score A WAV file is written ``` Good to know: - License: Apache 2.0 - Cost to run: none named - Data it reaches: it downloads the bundle and example scores from the repository, then writes the audio file you name - Not for: free singing without a score, since a melody score is required ## On Hugging Face, 13 November 2026 - Task: text to speech - Library: litert - Downloads in the last 30 days: 929 - Likes: 17 - License: apache-2.0 - Languages: en, es, it, fr, de, vi - Tags: litert, tflite, onnx, text-to-speech, singing, singing-voice-synthesis, coreml, pytorch, multilingual, expressive-tts, duration-flow ## Links - Model: https://huggingface.co/spybyscript/scyllasband - Files: https://huggingface.co/spybyscript/scyllasband/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download spybyscript/scyllasband ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [spybyscript/scyllasband on Hugging Face](https://huggingface.co/spybyscript/scyllasband) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | Parameters | License | Last change | | --- | --- | --- | --- | --- | --- | | Scylla's Band (this page) | 929 | 17 | — | apache-2.0 | 2026-11-05 | | [HolosTTS](https://mindket.com/p/eca91038-736b-4917-862e-2267ae60758c) | 95 | 18 | — | mit | 2026-11-04 | | [phonon-31m English for Compute Flow](https://mindket.com/p/be018f33-0bae-4c0b-bb57-8789a117cf65) | 56 | 3 | 18.9M | apache-2.0 | 2026-11-07 | | [Klein-TTS-X1.5-Pro](https://mindket.com/p/c2bfb923-e753-414e-9acd-851872b8e3e6) | 258 | 10 | 13.1M | apache-2.0 | 2026-11-03 | | [Idol on LiteRT](https://mindket.com/p/b703ca5e-ac19-4810-a1b0-6e4eea44e092) | 1,066 | 5 | — | apache-2.0 | 2026-11-09 | | [BERT base model (uncased)](https://mindket.com/p/d5887db0-760c-4639-8457-d0da6a3a2699) | 31,346,528 | 3,071 | 110M | apache-2.0 | 2024-02-19 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-11-05 - First published: 2026-08-05 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open spybyscript/scyllasband on Hugging Face](https://huggingface.co/spybyscript/scyllasband) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/e5bfd002-5511-4a73-8596-08eb7d980620) - [Its page on Mindket](https://mindket.com/p/e5bfd002-5511-4a73-8596-08eb7d980620)