Spark-TTS
Apache-2.0 code; CC-BY-NC-SA-4.0 weightsBuilt on Qwen2.5, zero-shot voice cloning + style control
Spark-TTS builds speech generation directly on a 0.5B Qwen backbone with a single-stream codec, making it unusually simple and efficient. It does zero-shot cloning plus controllable voice creation — set gender, pitch, and speaking style to synthesize a new voice from scratch.
Best for: Built on Qwen2.5, zero-shot voice cloning + style control
Noncommercial / separate license: The publisher documents a change from Apache to CC-BY-NC-SA for weights because of training data. The current code remains Apache; commercial use of these weights is not covered.
Code: Apache-2.0. Weights: CC-BY-NC-SA-4.0. License sources checked 2026-09-20. Source 1Source 2Source 3
Before you choose: Compare the samples with your own use case. Check the linked documentation for code, weight, and voice license terms.
Details awaiting a fresh review. Hardware figures are estimates unless a benchmark is linked.
Compare with similar
Compare all →Choose an alternative to hear both models together.
Voices
1 voiceThe scripts
Run Spark-TTS
pip install spark-ttsSources & setup details
Spark-TTS FAQ
Do I need a GPU to run Spark-TTS?
The directory lists roughly 8 GB of VRAM as a historical estimate. Check the model documentation for your checkpoint and runtime.
Can Spark-TTS clone voices?
Yes — Spark-TTS supports voice cloning from reference audio.
What license is Spark-TTS released under?
Spark-TTS is released under the Apache-2.0 code; CC-BY-NC-SA-4.0 weights license. Always check the repository for the exact terms — some models license code and weights separately.
What languages does Spark-TTS support?
Spark-TTS supports Chinese, English.
Is there a hosted Spark-TTS API?
OpenSpeech Cloud is accepting production-access interest for Spark-TTS, but this model is not currently hosted in Cloud. Use the official repository for current deployment options.