3 min to read
Orpheus 3B TTS, developed by Canopy Labs, is an advanced open-source text-to-speech (TTS) model based on the Llama architecture. It is designed to synthesize high-quality, expressive speech, accurately replicating human intonation and emotion.
With its capabilities, the model is well-suited for applications such as virtual assistants, audiobook narration, and AI-driven content creation.
Before installing Orpheus 3B TTS, ensure your system meets the following specifications:
Homebrew is a package manager that simplifies software installation. Open a terminal and run:
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
If Python is not installed, use:
brew install python
Git is required to clone the model repository:
brew install git
Navigate to the desired directory and run:
git clone https://github.com/canopyai/Orpheus-TTS.git
cd Orpheus-TTS
Inside the cloned repository, install the necessary Python packages:
pip install -r requirements.txt
huggingface-cli login
Enter your access token when prompted.
To retrieve the model files, use:
git lfs install
git lfs pull
Write a Python script to generate speech from text:
import torch
from transformers import pipeline
# Load the Orpheus TTS model
tts = pipeline("text-to-speech", model="canopylabs/orpheus-3b-0.1-pretrained")
# Define input text
input_text = "Hello! This is a test of the Orpheus 3B TTS system."
# Generate speech output
audio = tts(input_text)
# Save the output as a WAV file
with open("output.wav", "wb") as f:
f.write(audio["audio"])
Run the script with:
python your_script.py
Replace your_script.py
with the actual filename.
After execution, the output file output.wav
will be available in your directory. Play it using any audio player.
Orpheus 3B TTS supports zero-shot voice cloning, allowing you to generate speech in a specific voice without retraining. Provide an audio sample as input and fine-tune synthesis parameters accordingly.
Adjusting emotion parameters enables the generation of expressive speech, making the output more engaging and realistic.
Orpheus 3B TTS can be embedded into various applications, such as AI-driven voice assistants, chatbots, and accessibility tools, by utilizing its API and integration options.
Installing and running Orpheus 3B TTS on a Mac provides an effective method for generating realistic synthetic speech. This guide outlines the essential steps for installation, configuration, and usage, enabling users to fully leverage the model’s capabilities for advanced speech synthesis applications.
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