---

base_model: canopylabs/orpheus-3b-0.1-ft language:

• en

library_name: transformers license: apache-2.0 pipeline_tag: text-to-speech tags:

• llama-cpp
• gguf-my-repo

---

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. Install LM Studio
2. Install the Orpheus TTS model (orpheus-3b-0.1-ft-q4km.gguf) in LM Studio
3. Load the Orpheus model in LM Studio
4. Start the local server in LM Studio (default: http://127.0.0.1:1234)
5. Install dependencies:

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

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)
• --topp: Top-p sampling parameter (default: 0.9)
• --repetitionpenalty: 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