101-skills/superpowers

text-to-speech

Convert text to natural speech with Inworld TTS, ElevenLabs, DIA TTS, Kokoro, Chatterbox, and more via inference.sh CLI.

ソースを見る

使い方

  1. インストールコマンドをコピーし、自分の環境へ導入する前にソースを確認します。
  2. 必要なツール、認証情報、対応環境を原文で確認します。
  3. 入力と成果物を指定し、出力を資料と照合します。
npx skills add https://github.com/101-skills/superpowers --skill text-to-speech

開始前の確認

  • 導入にはモデル契約、API枠、ファイルへのアクセス許可は含まれません。
  • スター数や導入数は活動の指標であり、独立した品質・安全性試験ではありません。
リポジトリの原文

見出し、例、コード、表、リンク、参照画像を含む原文を表示しています。

Install the belt CLI skill: npx skills add belt-sh/cli

Text-to-Speech

Convert text to natural speech via inference.sh CLI.

Text-to-Speech
Text-to-Speech

Quick Start

Requires inference.sh CLI (belt). Install instructions
bash
belt login

# Generate speech
belt app run infsh/kokoro-tts --input '{"text": "Hello, welcome to our product demo."}'

Available Models

ModelApp IDBest For
Inworld TTS-2inworld/text-to-speech-2100+ languages, emotion steering with [brackets], delivery modes
Inworld TTS 1.5 Maxinworld/text-to-speech-1-5-maxLow latency (<200ms), 15 languages
Inworld TTS 1.5 Miniinworld/text-to-speech-1-5-miniUltra-low latency (~120ms), 15 languages
ElevenLabs TTSelevenlabs/ttsPremium quality, 22+ voices, 32 languages
DIA TTSinfsh/dia-ttsConversational, expressive
Kokoro TTSinfsh/kokoro-ttsFast, natural
Chatterboxinfsh/chatterboxGeneral purpose
Higgs Audioinfsh/higgs-audioEmotional control
VibeVoiceinfsh/vibevoicePodcasts, long-form

Browse All Audio Apps

bash
belt app list --category audio

Examples

Basic Text-to-Speech

bash
belt app run infsh/kokoro-tts --input '{"text": "Welcome to our tutorial."}'

Inworld TTS-2 — Emotion Steering

Inworld TTS-2 supports natural-language steering with [brackets] — control emotion, volume, speed, and non-verbals inline with text:

bash
belt app run inworld/text-to-speech-2 --input '{
  "text": "I have some [exciting] news to share with you! [pause] We just hit one million users. [laugh]",
  "voice_id": "Sarah",
  "delivery_mode": "CREATIVE"
}'

Delivery modes: STABLE (consistent), BALANCED (natural, default), CREATIVE (expressive).

Built-in voices (271+ across 15 languages): Sarah, Alex, Ashley, Dennis, Hana, Blake, Luna, Clive, and many more. Browse all voices in the Inworld TTS Playground or list programmatically via GET https://api.inworld.ai/voices/v1/voices.

Inworld TTS 1.5 — Low Latency

For real-time applications where speed matters:

bash
# Max quality at low latency (<200ms)
belt app run inworld/text-to-speech-1-5-max --input '{
  "text": "Welcome back! How can I help you today?",
  "voice_id": "Ashley"
}'

# Ultra-low latency (~120ms) for conversational AI
belt app run inworld/text-to-speech-1-5-mini --input '{
  "text": "Sure, let me look that up for you.",
  "voice_id": "Dennis"
}'

Conversational TTS with DIA

bash
belt app sample infsh/dia-tts --save input.json

# Edit input.json:
# {
#   "text": "Hey! How are you doing today? I'm really excited to share this with you.",
#   "voice": "conversational"
# }

belt app run infsh/dia-tts --input input.json

Long-form Audio (Podcasts)

bash
belt app sample infsh/vibevoice --save input.json

# Edit input.json with your podcast script
belt app run infsh/vibevoice --input input.json

Expressive Speech with Higgs

bash
belt app sample infsh/higgs-audio --save input.json

# {
#   "text": "This is absolutely incredible!",
#   "emotion": "excited"
# }

belt app run infsh/higgs-audio --input input.json

Use Cases

  • Voiceovers: Product demos, explainer videos
  • Audiobooks: Convert text to spoken word
  • Podcasts: Generate podcast episodes
  • Accessibility: Make content accessible
  • IVR: Phone system voice prompts
  • Video Narration: Add narration to videos
  • Gaming / NPCs: Character voices with emotion steering (Inworld TTS-2)
  • Conversational AI: Ultra-low latency responses (Inworld TTS 1.5 Mini)
  • Avatar / UGC Videos: Generate speech for talking head avatars

Combine with Video

The easiest way to create a talking head video is P-Video-Avatar with built-in TTS — no separate audio step:

bash
belt app run pruna/p-video-avatar --input '{
  "image": "https://portrait.jpg",
  "voice_script": "Your script here",
  "voice": "Zephyr (Female)"
}'

For models without built-in TTS (OmniHuman, PixVerse), generate speech first:

bash
# 1. Generate speech with Inworld TTS-2 (emotion steering)
belt app run inworld/text-to-speech-2 --input '{
  "text": "[friendly] Your script here. [excited] This is the best part!",
  "voice_id": "Sarah",
  "delivery_mode": "CREATIVE"
}' > speech.json

# 2. Use the audio URL with OmniHuman for avatar video
belt app run bytedance/omnihuman-1-5 --input '{
  "image_url": "https://portrait.jpg",
  "audio_url": "<audio-url-from-step-1>"
}'

Related Skills

bash
# ElevenLabs TTS (premium, 22+ voices)
npx skills add inference-sh/skills@elevenlabs-tts

# ElevenLabs dialogue (multi-speaker)
npx skills add inference-sh/skills@elevenlabs-dialogue

# Full platform skill (all apps)
npx skills add inference-sh/skills@infsh-cli

# AI avatars (combine TTS with talking heads)
npx skills add inference-sh/skills@ai-avatar-video

# AI music generation
npx skills add inference-sh/skills@ai-music-generation

# Speech-to-text (transcription)
npx skills add inference-sh/skills@speech-to-text

# Video generation
npx skills add inference-sh/skills@ai-video-generation

Browse all apps: belt app list

Documentation

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