AI BriefingInflect-Micro-v2: A Complete Voice Model Implemented with 9.36M Parameters
Key point
Inflect-Micro-v2, a highly efficient TTS model capable of local execution with fewer than 10 million parameters, has been released.
Details
Inflect-Micro-v2, a complete local TTS (Text-to-Speech) model that converts text into waveforms, has been released. This model boasts high efficiency using only 9.36M (approximately 9.36 million) parameters.
Key features are as follows:
- Two sizes available: It consists of a quality-focused Micro model (under 10M) and a size-focused Nano model (under 4M).
- Efficient inference: Inference is possible on both CPU and CUDA environments, and it supports 24 kHz mono output.
- Control features: It has fixed-voice implementation through deterministic seeds and long-text processing capability.
- Lightweight: The model size is very light at approximately 37.53 MB in FP32.
This model is a suitable solution for developers looking to implement stable speech synthesis in a local environment without a high-performance server.
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