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PascalandGitHub
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get_output runs the waveform work the pipeline defers to it, from a single trailing window to a full pass depending on the model. Measuring it keeps the reported total and the audio to process ratio honest.
llama.cpp TTS
This is a tool to demonstrate audio generation capability in llama.cpp via libmtmd. It was added via PR #26254
Note: this tool used to serve as a demo for OuteTTS, but it was converted to a more model-agnostic tool.
Common usage
Simple usage:
llama-tts -hf ggml-org/Qwen3-TTS-12Hz-1.7B-Base-GGUF -p "Hello world" --output out.wav
Common params:
- Sampling params such as
--top-k,--top-p,--temp, etc. -n <number_of_frames>limits the output length, e.g.-n 500. Note that how many milliseconds each frame represents varies by model- Core inference params such as
-ngl,-b,-ub, etc.
Qwen3-TTS
Available params:
--tts-langcan bezh,en,de,it,pt,es,ja,ko,fr,ru(default:en)--tts-speaker-fileshould point to a speaker reference audio file (wav, mp3)
Example usage:
llama-tts -hf ggml-org/Qwen3-TTS-12Hz-1.7B-Base-GGUF \
-p "Hello world" \
--tts-lang english \
--tts-speaker-file speaker.mp3 \
--output out.wav