name: text-to-speech description: "Convert text to natural speech with DIA TTS, Kokoro, Chatterbox, and more via inference.sh CLI. Models: DIA TTS (conversational), Kokoro TTS, Chatterbox, Higgs Audio, VibeVoice (podcasts). Capabilities: text-to-speech, voice cloning, multi-speaker dialogue, podcast generation, expressive speech. Use for: voiceovers, audiobooks, podcasts, accessibility, video narration, IVR, voice assistants. Triggers: text to speech, tts, voice generation, ai voice, speech synthesis, voice over, generate speech, ai narrator, voice cloning, text to audio, elevenlabs alternative, voice ai, ai voiceover, speech generator, natural voice" allowed-tools: Bash(infsh *)

Text-to-Speech

Convert text to natural speech via inference.sh CLI.

Quick Start

# Install CLI
curl -fsSL https://cli.inference.sh | sh && infsh login

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

Install note: The install script only detects your OS/architecture, downloads the matching binary from dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available.

Available Models

Browse All Audio Apps

infsh app list --category audio

Examples

Basic Text-to-Speech

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

Conversational TTS with DIA

infsh 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"
# }

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

Long-form Audio (Podcasts)

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

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

Expressive Speech with Higgs

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

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

infsh app run infsh/higgs-audio --input input.json
7w4.net小蔥技能。

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

Combine with Video

Generate speech, then create a talking head video:

# 1. Generate speech
infsh app run infsh/kokoro-tts --input '{"text": "Your script here"}' > speech.json

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

Related Skills

# Full platform skill (all 150+ apps)
npx skills add inference-sh/skills@inference-sh

# 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: infsh app list

Documentation

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

這個 Skill 質量不錯，文件寫得很清晰，提供的使用示例豐富多樣，能快速上手。但它是呼叫外部服務的，對網路環境有要求，生成播客等複雜任務時可能需要等待。另外功能體驗完全取決於外部服務是否穩定，需要聯網才能使用，對網路不佳的場景不太友好。