ChatTTS vs chatterbox-vllm
Conversational speech synthesis projects compared
ChatTTS is a dialogue-oriented text-to-speech model with Chinese and English support, multiple speakers, and expressive delivery controls. chatterbox-vllm adapts Chatterbox speech-token generation to vLLM for batched inference, with a focus on throughput on Nvidia GPUs.
ChatTTS: Generate Expressive Speech for Dialogue
ChatTTS is a generative text-to-speech model built for dialogue, including assistant-style speech. It supports Chinese and English, multiple speakers, and controls for prosody such as pauses and laughter.
chatterbox-vllm: Generate Speech with Chatterbox on vLLM
A vLLM port of the Chatterbox text-to-speech model, built to improve GPU throughput and support batched generation. It suits developers with compatible Nvidia hardware who can work with an early, changing implementation.
| ChatTTS | chatterbox-vllm | |
|---|---|---|
| Language | Python | Python |
| License | AGPL-3.0 | MIT |
| Stars | 39.9k | 385 |
| Forks | 4.3k | 64 |
| Last analyzed | Oct 3, 2026 | Oct 3, 2026 |
Key differences
- ChatTTS targets expressive dialogue, with controls for pauses, laughter, and interjections; chatterbox-vllm provides exaggeration control and optional audio prompts for voice conditioning.
- ChatTTS supports Chinese and English, though English is experimental; chatterbox-vllm has early multilingual support with known quality limitations.
- ChatTTS provides command-line, web UI, and Python inference examples; chatterbox-vllm focuses on vLLM-based batched generation and an example script.
- ChatTTS code uses AGPL-3.0, while its model has a separate CC BY-NC 4.0 license; chatterbox-vllm uses MIT.
- ChatTTS is presented for research and development, while chatterbox-vllm is an early, changing implementation that relies on vLLM internal APIs.
- ChatTTS reports a GPU memory requirement for a 30-second clip; chatterbox-vllm supports Linux and WSL2 with Nvidia hardware, while AMD support is untested.
Choose ChatTTS if you…
- need Chinese and English dialogue synthesis with multiple speaker options.
- want to explore pauses, laughter, and other expressive delivery cues.
- prefer examples for command-line, web UI, or Python inference.
Choose chatterbox-vllm if you…
- need to test batched Chatterbox generation through vLLM on Nvidia GPUs.
- want to compare vLLM inference with the original Transformers-based implementation.
- can work with an early implementation and its vLLM version and multilingual limitations.
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.