Physical Address
304 North Cardinal St.
Dorchester Center, MA 02124
Meet Kani-TTS-2: Efficient 400M Parameter Open Source Text-to-Speech Model Running on 3GB VRAM with Voice Cloning
Kani-TTS-2 is an innovative open-source text-to-speech (TTS) model developed by nineninesix.ai, designed to deliver high-fidelity speech synthesis using only 3GB of VRAM. Unlike traditional TTS systems that require heavy computational resources, Kani-TTS-2 treats audio as a language, enabling efficient and cost-effective voice cloning and generative audio applications. This shift toward smaller, more efficient TTS models is crucial for developers seeking scalable solutions without sacrificing quality.
The model’s 400 million parameters achieve a remarkable balance between performance and resource usage, making it accessible for a wide range of projects, from voice assistants to content creation tools. This breakthrough can reshape how developers integrate advanced voice technology into their apps, lowering barriers and accelerating innovation in voice-driven AI.
Whether you’re a developer aiming to implement realistic voice synthesis or an AI enthusiast exploring open-source audio models, Kani-TTS-2 offers a lean, high-performance alternative worth exploring.
