Generate speech from text using the Qwen3-TTS model on Mac MLX hardware.
npx skills add https://github.com/kazuph/dotfiles --skill qwen-tts
Please help me install this Agent Skill. Skill: qwen-tts Source: https://github.com/kazuph/dotfiles/tree/main/plugins/kazuph-dotfiles/skills/qwen-tts Command: npx skills add https://github.com/kazuph/dotfiles --skill qwen-tts
This Skill provides a streamlined way to generate speech from text using the Qwen3-TTS model, optimized for efficiency and quality on Mac MLX hardware.
max_tokens, temperature, and repetition_penalty.Use the qwen-tts skill to generate an audio file named 'greeting.wav' from the text 'Hello, world!' with a cheerful female voice.
High-intent search queries and answers about installing and using this skill.
You can generate speech from text on Mac MLX hardware by using the Qwen3-TTS model, which provides efficient text-to-speech synthesis optimized specifically for Apple Silicon architecture.
Yes, text-to-speech generation supports customizable voice characteristics through detailed parameter control, allowing you to specify voice instructions and language selection for tailored audio output.
To optimize speech synthesis, adjust sampling parameters like temperature, top_k, top_p, repetition_penalty, and max_tokens to balance RTF performance, audio length, and overall voice quality.
Yes, generating speech with Qwen3-TTS requires the mlx-audio and soundfile dependencies to handle the audio processing framework and output file writing on Mac MLX hardware.
Generated audio may cut off if the max_tokens parameter is set too low; dynamically adjusting this value ensures optimal audio length to fully cover the input text.
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