How to use
- Copy the installation command and review the source package before installing it in your own agent environment.
- Check the source document for required tools, credentials and supported hosts.
- Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/101-skills/superpowers --skill text-to-speechBefore you start
- Installation does not include a model subscription, API allowance or permission to access your files.
- Repository stars and installation counts describe activity, not an independent quality or security test.
Original skill document
Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.
Install the belt CLI skill: npx skills add belt-sh/cliText-to-Speech
Convert text to natural speech via inference.sh CLI.
Quick Start
Requires inference.sh CLI (belt). Install instructionsbash
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
bash
belt app list --category audioExamples
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.jsonLong-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.jsonExpressive 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.jsonUse 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-generationBrowse 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
