Show HN: Run Dia2 TTS Without a GPU (github.com)

A new project has emerged, enabling users to deploy a production-ready Text-to-Speech (TTS) API using the Dia2 model without requiring powerful GPU hardware. This solution simplifies the process with a REST API that can be set up in minutes on Modal's serverless infrastructure, allowing for voice cloning from short audio samples and generating natural-sounding speech through straightforward API calls. Users can create multi-speaker dialogues and benefit from a fast deployment process, especially useful for developers looking to integrate advanced TTS capabilities without the upfront investment in hardware. This innovation is significant for the AI/ML community as it democratizes access to advanced TTS technology, making it more accessible to developers and startups. The project is cost-effective, with a free tier supported by $30/month in credits and ensures efficient use of resources, with easy deployment and management tools available via command-line interface. Key technical details include support for Python 3.8 or higher, capabilities for generating speech with specified speaker tags, and health checks for service status—all crucial for users looking to implement or experiment with TTS solutions quickly and effectively.