Orpheus-TTS is a text-to-speech (TTS) model released by the Canopy Labs team on March 18, 2025. The model is able to generate natural, emotional, and near-human speech, and has zero-sample speech cloning capabilities, which allows it to imitate specific speech without pre-training. Users can control the emotional expression of speech through labels to enhance the realism of speech. The latency of Orpheus TTS is as low as about 200 milliseconds, making it suitable for real-time applications.
This tutorial uses resources for a single RTX 4090 card.
2. Project Examples
3. Operation steps
1. After starting the container, click the API address to enter the Web interface
If "Bad Gateway" is displayed, it means the model is initializing. Since the model is large, please wait about 1-2 minutes and refresh the page.
2. After entering the webpage, you can start a conversation with the model
❗️Important usage tips:
Temperature: Control the randomness and creativity of generation.
Top P: Controls the selection range of candidate tokens.
Repetition Penalty: Suppress repetitive patterns in speech.
Max Length: Controls the duration of the generated audio.
How to use
When using Safari browser, the audio may not be played directly and needs to be downloaded before playing. The English effect is better than the Chinese effect.
4. Discussion
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Project Support
Thanks to Github user xxxjjjyyy1 Deployment of this tutorial.
