Cómo usar
- Copia el comando y revisa el paquete antes de instalarlo en tu entorno de agente.
- Consulta las herramientas, credenciales y entornos necesarios en el documento original.
- Describe las entradas y el resultado deseado; contrasta la salida con las fuentes.
npx skills add https://github.com/101-skills/superpowers --skill text-to-speechAntes de empezar
- La instalación no incluye suscripción al modelo, cuota API ni permisos sobre tus archivos.
- Las estrellas e instalaciones reflejan actividad, no una prueba independiente de calidad o seguridad.
Documento original del Skill
Contenido del repositorio de origen con títulos, ejemplos, código, tablas, enlaces e imágenes preservados.
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
