Lightning v3.1

Lightning v3.1 now has a Pro tier with 39 curated voices across American, British, and Indian accents (both Male and Female). The Pro pool runs on dedicated inference capacity, delivering the same TTFB as standard Lightning v3.1.

What’s in the catalog:

• Indian — Female (8): Rhea, Zariya, Kareena, Mishka, Inaaya, Saira, Meher, Aarini
• Indian — Male (5): Aviraj, Vyom, Zoravar, Reyansh, Ahan
• British — Female (6): Cressida, Elowen, Ottilie, Seraphina, Tabitha, Arabella
• British — Male (7): Benedict, Cormac, Everett, Finley, Rupert, Winston, Caspian
• American — Female (7): Willow, Autumn, Skylar, Savannah, Kennedy, Reagan, Sierra
• American — Male (6): Maverick, Brooks, Hunter, Colton, Wesley, Asher

Languages supported: Indian voices speak English and Hindi (with native code-switching when language="auto"). British and American voices speak English. See per-voice tags.language via GET /waves/v1/lightning-v3.1/get_voices.

How to use it:

• Atoms voice agents: open the agent’s voice picker and select the new Pro filter chip, then pick any Pro voice. Atoms transparently routes to the Pro pool — no other configuration needed.
• API (direct): use the unified POST /waves/v1/tts (sync), POST /waves/v1/tts/live (SSE), or WSS /waves/v1/tts/live (WebSocket) endpoints and pass "model": "lightning_v3.1_pro" in the request body alongside the chosen voice_id. The legacy /waves/v1/lightning-v3.1/* routes also accept the model field for backwards-compatible Pro opt-in.

Voice cloning: not available on Lightning v3.1 Pro. Voice clones continue to use Lightning v3.1 (standard) and the existing voice-cloning flow. There is no migration required.

For the full catalog, integration examples, and a Python WebSocket sample, see the Lightning v3.1 Pro model card.