Isaaclu724/orpheus-3b-0.1-ft-Q4_K_M-GGUF

Orpheus-TTS-Local

A lightweight client for running Orpheus TTS locally using LM Studio API.

{Github Repo](https://github.com/isaiahbjork/orpheus-tts-local)

Features

• —🎧 High-quality Text-to-Speech using the Orpheus TTS model
• —💻 Completely local - no cloud API keys needed
• —🔊 Multiple voice options (tara, leah, jess, leo, dan, mia, zac, zoe)
• —💾 Save audio to WAV files

Quick Setup

1. 1.Install LM Studio
2. 2.Install the Orpheus TTS model (orpheus-3b-0.1-ft-q4_k_m.gguf) in LM Studio
3. 3.Load the Orpheus model in LM Studio
4. 4.Start the local server in LM Studio (default: http://127.0.0.1:1234)
5. 5.Install dependencies:

   python3 -m venv venv
   source venv/bin/activate
   pip install -r requirements.txt

1. 1.Run the script:

   python gguf_orpheus.py --text "Hello, this is a test" --voice tara

Usage

python gguf_orpheus.py --text "Your text here" --voice tara --output "output.wav"

Options

• —--text: The text to convert to speech
• —--voice: The voice to use (default: tara)
• —--output: Output WAV file path (default: auto-generated filename)
• —--list-voices: Show available voices
• —--temperature: Temperature for generation (default: 0.6)
• —--top_p: Top-p sampling parameter (default: 0.9)
• —--repetition_penalty: Repetition penalty (default: 1.1)

Available Voices

• —tara - Best overall voice for general use (default)
• —leah
• —jess
• —leo
• —dan
• —mia
• —zac
• —zoe

Emotion

You can add emotion to the speech by adding the following tags:

<giggle>
<laugh>
<chuckle>
<sigh>
<cough>
<sniffle>
<groan>
<yawn>
<gasp>

License

Apache 2.0