This is a simplified guide to an AI model called Kokoro-82m-All-Voices maintained by Vladpolbennikov. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Model overview
kokoro-82m-all-voices is a lightweight text-to-speech model with 82 million parameters based on StyleTTS2 architecture. Despite its compact size, it delivers audio quality comparable to much larger models while running faster and at lower cost. The model uses Apache-licensed weights, making it suitable for deployment in production environments, research projects, or personal use. It supports multiple voices across American and British English accents, with options like af_heart, af_bella, af_sarah, am_adam, am_michael, bf_emma, bf_isabella, bm_george, and bm_lewis. Related implementations include kokoro-82m by jaaari, kokoro-82m by jerryjalapeno, and the original Kokoro-82M by hexgrad.
Model inputs and outputs
The model takes text input and produces audio output at 24kHz sample rate. Users can control playback characteristics through parameters like speed adjustment. The inference system processes text through a grapheme-to-phoneme conversion pipeline before generating corresponding audio, outputting both the phoneme sequence and the audio waveform.
Inputs
- Text: The content to be converted to speech
- Voice: Selection from available voice options (default: af_heart)
- Speed: Playback speed multiplier (default: 1.0, where 1.0 represents normal speed)
Outputs
- Audio: Generated speech as a 24kHz WAV file
Capabilities
The model synthesizes natural-sounding…