據 AlphaMoat 統計,截至 2026-09,Pocket Tts 累計下載 3,571 次、獲 3 個星標,在全部 5,078 個 AI 技能中排名第 3,061 位,在「設計創意」分類(512 個)中排名第 281 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 95 | 2922 | 3 | - |
| SkillHub ↗ | 323 | 3571 | 3 | — |
各平台的計數口徑不同,統計時間不一致。
CLI 和 Python 示例可選預設聲音或 WAV 樣本、調整速度並儲存音訊,可選本地伺服器。需 Python、PyTorch 和受限模型條款許可,首次可能下載模型或聲音資源。應在隔離環境審查固定依賴,僅克隆獲使用者許可的聲音;本地推理不等於無需安裝下載。
資料釋出於 2026-10-27
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 3571 | — | 3 |
| 2026-08 | 3118 | +4.7% | 3 |
| 2026-07 | 2978 | +17.3% | 3 |
| 2026-06 | 2539 | -2.3% | 3 |
| 2026-05 | 2598 | — | 3 |
| 2026-03 | 2293 | — | 3 |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。
# Pocket TTS Skill Fully local, offline text-to-speech using Kyutai's Pocket TTS model. Generate high-quality audio from text without any API calls or internet connection. Features 8 built-in voices, voice cloning support, and runs entirely on CPU. ## Features - 🎯 **Fully local** - No API calls, runs completely offline - 🚀 **CPU-only** - No GPU required, works on any computer - ⚡ **Fast generation** - ~2-6x real-time on CPU - 🎤 **8 built-in voices** - alba, marius, javert, jean, fantine, cosette, eponine, azelma
- 🎭 **Voice cloning** - Clone any voice from a WAV sample
- 🔊 **Low latency** - ~200ms first audio chunk
- 📚 **Simple Python API** - Easy integration into any project
## Installation
```bash
# 1. Accept the model license on Hugging Face
# https://huggingface.co/kyutai/pocket-tts
# 2. Install the package
pip install pocket-tts
# Or use uv for automatic dependency management
uvx pocket-tts generate "Hello world"
```
## Usage
### CLI
```bash
# Basic usage
pocket-tts "Hello, I am your AI assistant"
# With specific voice
pocket-tts "Hello" --voice alba --output hello.wav
# With custom voice file (voice cloning)
pocket-tts "Hello" --voice-file myvoice.wav --output output.wav
# Adjust speed
pocket-tts "Hello" --speed 1.2
# Start local server
pocket-tts --serve
# List available voices
pocket-tts --list-voices
```
### Python API
```python
from pocket_tts import TTSModel
import scipy.io.wavfile
# Load model
tts_model = TTSModel.load_model()
# Get voice state
voice_state = tts_model.get_state_for_audio_prompt(
"hf://kyutai/tts-voices/alba-mackenna/casual.wav"
)
# Generate audio
audio = tts_model.generate_audio(voice_state, "Hello world!")
# Save to WAV
scipy.io.wavfile.write("output.wav", tts_model.sample_rate, audio.numpy())
# Check sample rate
print(f"Sample rate: {tts_model.sample_rate} Hz")
```
## Available Voices
| Voice | Description |
|-------|-------------|
| alba | Casual female voice |
| marius | Male voice |
| javert | Clear male voice |
| jean | Natural male voice |
| fantine | Female voice |
| cosette | Female voice |
| eponine | Female voice |
| azelma | Female voice |
Or use `--voice-file /path/to/wav.wav` for custom voice cloning.
## Options
| Option | Description | Default |
|--------|-------------|---------|
| `text` | Text to convert | Required |
| `-o, --output` | Output WAV file | `output.wav` |
| `-v, --voice` | Voice preset | `alba` |
| `-s, --speed` | Speech speed (0.5-2.0) | `1.0` |
| `--voice-file` | Custom WAV for cloning | None |
| `--serve` | Start HTTP server | False |
| `--list-voices` | List all voices | False |
## Requirements
- Python 3.10-3.14
- PyTorch 2.5+ (CPU version works)
- Works on 2 CPU cores
## Notes
- ⚠️ Model is gated - accept license on Hugging Face first
- 🌍 English language only (v1)
- 💾 First run downloads model (~100M parameters)
- 🔊 Audio is returned as 1D torch tensor (PCM data)
## Links
- [Demo](https://kyutai.org/tts)
- [GitHub](https://github.com/kyutai-labs/pocket-tts)
- [Hugging Face](https://huggingface.co/kyutai/pocket-tts)
- [Paper](https://arxiv.org/abs/2509.06926)
ContextWeave 架構圖一鍵生成
用 Nano Banana Pro 生成或編輯圖片的指令碼技能。
用 whisper 命令列工具在本機將音訊轉成文字或進行翻譯。
透過 MCP 服務生成與編輯圖表的技能。
面向介面設計的思路與落地建議技能,覆蓋佈局、互動流程、設計令牌與前端改動。
面向多家影片模型 API 的 AI 影片生成與編排技能。
用 ffmpeg 從影片裡取出畫面幀,或生成便於快速檢視的縮圖。
用本地 Whisper 把音訊檔案轉成文字,模型下載完成後可完全離線執行。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。