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Generate speech from text using Kyutai Pocket TTS - lightweight, CPU-friendly, streaming TTS with voice cloning. English only. ~6x real-time on M4 MacBook Air.
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/johnalbertini14-glitch/openclaw-skills --skill pocket-tts명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SOC 직업 분류 기준
SKILL.md 표시 중
| id | pocket-tts |
| name | Pocket-TTS |
| version | 1.0.0 |
| author | Leonardo Balland |
| description | Generate speech from text using Kyutai Pocket TTS - lightweight, CPU-friendly, streaming TTS with voice cloning. English only. ~6x real-time on M4 MacBook Air. |
| categories | ["text-to-speech","documentation"] |
| tags | ["kyutai","text-to-speech","tts","cpu","streaming","voice-cloning"] |
| homepage | https://kyutai.org/blog/2026-01-13-pocket-tts |
| repository | https://github.com/kyutai-labs/pocket-tts |
| documentation | https://github.com/kyutai-labs/pocket-tts/tree/main/docs |
Lightweight CPU-friendly text-to-speech with voice cloning. No GPU required.
pip install pocket-tts
# or
uv add pocket-tts
# Basic generation (default voice)
pocket-tts generate --text "Hello world"
# Custom voice (local file, URL, or safetensors)
pocket-tts generate --voice ./my_voice.wav
pocket-tts generate --voice "hf://kyutai/tts-voices/alba-mackenna/casual.wav"
pocket-tts generate --voice ./voice.safetensors
# Quality tuning
pocket-tts generate --temperature 0.7 --lsd-decode-steps 3
See docs/generate.md for full CLI reference.
# Start FastAPI server with web UI
pocket-tts serve
# Custom host/port
pocket-tts serve --host localhost --port 8080
See docs/serve.md for server options.
Convert audio files to .safetensors for faster loading:
# Single file
pocket-tts export-voice voice.mp3 voice.safetensors
# Batch conversion
pocket-tts export-voice voices/ embeddings/ --truncate
See docs/export_voice.md for export options.
from pocket_tts import TTSModel
import scipy.io.wavfile
# Load model
model = TTSModel.load_model()
# Get voice state
voice = model.get_state_for_audio_prompt(
"hf://kyutai/tts-voices/alba-mackenna/casual.wav"
)
# Generate audio
audio = model.generate_audio(voice, "Hello world!")
# Save
scipy.io.wavfile.write("output.wav", model.sample_rate, audio.numpy())
model = TTSModel.load_model(
config="b6369a24", # Model variant
temp=0.7, # Temperature (0.5-1.0)
lsd_decode_steps=1, # Generation steps (1-5)
eos_threshold=-4.0 # End-of-sequence threshold
)
# From audio file/URL
voice = model.get_state_for_audio_prompt("./voice.wav")
voice = model.get_state_for_audio_prompt("hf://kyutai/tts-voices/alba-mackenna/casual.wav")
# From safetensors (fast loading)
voice = model.get_state_for_audio_prompt("./voice.safetensors")
# Stream audio chunks
for chunk in model.generate_audio_stream(voice, "Long text..."):
# Process/save/play each chunk as generated
print(f"Chunk: {chunk.shape[0]} samples")
# Preload multiple voices
voices = {
"casual": model.get_state_for_audio_prompt("hf://kyutai/tts-voices/alba-mackenna/casual.wav"),
"announcer": model.get_state_for_audio_prompt("./announcer.safetensors"),
}
# Use different voices
audio1 = model.generate_audio(voices["casual"], "Hey there!")
audio2 = model.generate_audio(voices["announcer"], "Breaking news!")
See docs/python-api.md for complete API reference.
Pre-made voices from hf://kyutai/tts-voices/:
alba-mackenna/casual.wav (default, female)jessica-jian/casual.wav (female)voice-donations/Selfie.wav (male, marius)voice-donations/Butter.wav (male, javert)ears/p010/freeform_speech_01.wav (male, jean)vctk/p244_023.wav (female, fantine)vctk/p262_023.wav (female, eponine)vctk/p303_023.wav (female, azelma)Or clone any voice from your own audio samples.
.safetensors for instant loadingAll commands output WAV files: