text-to-speech

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npx skills add inference-sh/skills --skill text-to-speech

Documentation

SKILL.md

npx skills add ...

Documentation

SKILL.md

Convert text to natural speech with Inworld TTS, ElevenLabs, DIA TTS, Kokoro, Chatterbox, and more via inference.sh CLI. Models: Inworld TTS-2 (100+ languages, emotion steering), Inworld TTS 1.5 (ultra-low latency), ElevenLabs (premium, 22+ voices, 32 languages), DIA TTS (conversational), Kokoro TTS, Chatterbox, Higgs Audio, VibeVoice (podcasts). Capabilities: text-to-speech, voice cloning, multi-speaker dialogue, podcast generation, expressive speech, emotion/delivery steering, character voices. Use for: voiceovers, audiobooks, podcasts, accessibility, video narration, IVR, voice assistants, gaming characters, avatar audio. Triggers: text to speech, tts, voice generation, ai voice, speech synthesis, voice over, generate speech, ai narrator, voice cloning, text to audio, elevenlabs, eleven labs, voice ai, ai voiceover, speech generator, natural voice, inworld, inworld tts, character voice, game voice, npc voice

npx skills add inference-sh/skills --skill text-to-speech

Documentation

SKILL.mdView source

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

Text-to-Speech

Convert text to natural speech via inference.sh CLI.

Quick Start

Requires inference.sh CLI (belt). Install instructions

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

Available Models

Model	App ID	Best For
Inworld TTS-2	`inworld/text-to-speech-2`	100+ languages, emotion steering with [brackets], delivery modes
Inworld TTS 1.5 Max	`inworld/text-to-speech-1-5-max`	Low latency (<200ms), 15 languages
Inworld TTS 1.5 Mini	`inworld/text-to-speech-1-5-mini`	Ultra-low latency (~120ms), 15 languages
ElevenLabs TTS	`elevenlabs/tts`	Premium quality, 22+ voices, 32 languages
DIA TTS	`infsh/dia-tts`	Conversational, expressive
Kokoro TTS	`infsh/kokoro-tts`	Fast, natural
Chatterbox	`infsh/chatterbox`	General purpose
Higgs Audio	`infsh/higgs-audio`	Emotional control
VibeVoice	`infsh/vibevoice`	Podcasts, long-form

Browse All Audio Apps

belt app list --category audio

Examples

Basic Text-to-Speech

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:

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:

# 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

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)

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

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:

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:

# 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>"
}'

# 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

Running Apps - How to run apps via CLI
Audio Transcription Example - Audio processing workflows
Apps Overview - Understanding the app ecosystem

npx skills add inference-sh/skills --skill text-to-speech

Documentation

SKILL.md

npx skills add inference-sh/skills --skill text-to-speech

Documentation

SKILL.mdView source

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

Text-to-Speech

Convert text to natural speech via inference.sh CLI.

Quick Start

Requires inference.sh CLI (belt). Install instructions

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

Available Models

Model	App ID	Best For
Inworld TTS-2	`inworld/text-to-speech-2`	100+ languages, emotion steering with [brackets], delivery modes
Inworld TTS 1.5 Max	`inworld/text-to-speech-1-5-max`	Low latency (<200ms), 15 languages
Inworld TTS 1.5 Mini	`inworld/text-to-speech-1-5-mini`	Ultra-low latency (~120ms), 15 languages
ElevenLabs TTS	`elevenlabs/tts`	Premium quality, 22+ voices, 32 languages
DIA TTS	`infsh/dia-tts`	Conversational, expressive
Kokoro TTS	`infsh/kokoro-tts`	Fast, natural
Chatterbox	`infsh/chatterbox`	General purpose
Higgs Audio	`infsh/higgs-audio`	Emotional control
VibeVoice	`infsh/vibevoice`	Podcasts, long-form

Browse All Audio Apps

belt app list --category audio

Examples

Basic Text-to-Speech

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:

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).

Inworld TTS 1.5 — Low Latency

For real-time applications where speed matters:

# 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

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)

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

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:

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:

# 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>"
}'

# 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

Running Apps - How to run apps via CLI
Audio Transcription Example - Audio processing workflows
Apps Overview - Understanding the app ecosystem

text-to-speech

Documentation

Documentation

text-to-speech

Documentation

Text-to-Speech

Quick Start

Available Models

Browse All Audio Apps

Examples

Basic Text-to-Speech

Inworld TTS-2 — Emotion Steering

Inworld TTS 1.5 — Low Latency

Conversational TTS with DIA

Long-form Audio (Podcasts)

Expressive Speech with Higgs

Use Cases

Combine with Video

Related Skills

Documentation

Documentation

Documentation

Text-to-Speech

Quick Start

Available Models

Browse All Audio Apps

Examples

Basic Text-to-Speech

Inworld TTS-2 — Emotion Steering

Inworld TTS 1.5 — Low Latency

Conversational TTS with DIA

Long-form Audio (Podcasts)

Expressive Speech with Higgs

Use Cases

Combine with Video

Related Skills

Documentation