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Ai Voice Cloning

Organization
inference-sh
ai-voice-cloning

AI voice generation, text-to-speech, and voice synthesis via inference.sh CLI. Models: Inworld TTS-2 (100+ languages, emotion/non-verbal steering), Inworld TTS 1.5 (ultra-low latency), ElevenLabs (22+ premium voices, 32 languages), Kokoro TTS, DIA, Chatterbox, Higgs, VibeVoice for natural speech. Capabilities: multiple voices, emotions, accents, long-form narration, conversation, voice transformation, delivery mode control, character voices. Use for: voiceovers, audiobooks, podcasts, video narration, accessibility, gaming NPCs, avatar audio, UGC. Triggers: voice cloning, tts, text to speech, ai voice, voice generation, voice synthesis, voice over, narration, speech synthesis, ai narrator, elevenlabs, eleven labs, natural voice, realistic speech, voice ai, voice changer, inworld, inworld tts, character voice, npc voice

Overview

Publisherinference-sh
Repositoryskills
Skill nameai-voice-cloning
Stars
790
Forks
106
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by inference-sh on GitHub. Read the source before you install it.

Installation

Install the Ai Voice Cloning AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/inference-sh/skills/tree/main/tools/audio/ai-voice-cloning
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/inference-sh/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/tools/audio/ai-voice-cloning .claude/skills/ai-voice-cloning
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ai Voice Cloning in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ai Voice Cloning on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ai Voice Cloning is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

AI Voice Generation

Generate natural AI voices via inference.sh CLI.

Quick Start

Requires inference.sh CLI (belt). Install instructions

bash
belt login

# Generate speech
belt app run falai/kokoro-tts --input '{
  "prompt": "Hello! This is an AI-generated voice that sounds natural and engaging.",
  "voice": "af_sarah"
}'

Available Models

ModelApp IDBest For
Inworld TTS-2inworld/text-to-speech-2100+ languages, emotion/non-verbal steering, 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, real-time
ElevenLabs TTSelevenlabs/ttsPremium quality, 22+ voices, 32 languages
ElevenLabs Voice Changerelevenlabs/voice-changerTransform existing voice recordings
Kokoro TTSfalai/kokoro-ttsNatural, multiple voices
DIAinfsh/dia-ttsConversational, expressive
Chatterboxinfsh/chatterboxCasual, entertainment
Higgsinfsh/higgs-audioProfessional narration
VibeVoiceinfsh/vibevoiceEmotional range

Kokoro Voice Library

American English

Voice IDGenderStyle
af_sarahFemaleWarm, friendly
af_nicoleFemaleProfessional
af_skyFemaleYouthful
am_michaelMaleAuthoritative
am_adamMaleConversational
am_echoMaleClear, neutral

British English

Voice IDGenderStyle
bf_emmaFemaleRefined
bf_isabellaFemaleWarm
bm_georgeMaleClassic
bm_lewisMaleModern

Inworld TTS — Character & Emotion Voices

Inworld TTS-2 is purpose-built for character voices, gaming, and expressive speech. Use [brackets] inline for emotion, non-verbals, and delivery control:

bash
# Expressive character voice with emotion steering
belt app run inworld/text-to-speech-2 --input '{
  "text": "[excited] Oh wow, you actually found the ancient artifact! [gasp] I cannot believe it... [whisper] We need to keep this between us.",
  "voice_id": "Sarah",
  "delivery_mode": "CREATIVE"
}'

# Calm narrator with stable delivery
belt app run inworld/text-to-speech-2 --input '{
  "text": "The sun set behind the mountains, casting long shadows across the valley. A new chapter was about to begin.",
  "voice_id": "Sarah",
  "delivery_mode": "STABLE"
}'

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

Steering examples: [laugh], [sigh], [whisper], [excited], [sad], [angry], [pause], [gasp]

Built-in voices (271+ across 15 languages): Sarah, Alex, Ashley, Dennis, Hana, Blake, Luna, Clive, and many more. Browse all at the Inworld TTS Playground.

Low-Latency for Real-Time / Conversational AI

bash
# Ultra-fast response for chatbots & game NPCs (~120ms)
belt app run inworld/text-to-speech-1-5-mini --input '{
  "text": "Welcome, traveler. What brings you to our village?",
  "voice_id": "Clive",
  "speaking_rate": 0.9
}'

Voice Generation Examples

Professional Narration

bash
belt app run falai/kokoro-tts --input '{
  "prompt": "Welcome to our quarterly earnings call. Today we will discuss the financial performance and strategic initiatives for the past quarter.",
  "voice": "am_michael",
  "speed": 1.0
}'

Conversational Style

bash
belt app run infsh/dia-tts --input '{
  "text": "Hey, so I was thinking about that project we discussed. What if we tried a different approach?",
  "voice": "conversational"
}'

Audiobook Narration

bash
belt app run falai/kokoro-tts --input '{
  "prompt": "Chapter One. The morning mist hung low over the valley as Sarah made her way down the winding path. She had been walking for hours.",
  "voice": "bf_emma",
  "language": "british-english",
  "speed": 0.9
}'

Video Voiceover

bash
belt app run falai/kokoro-tts --input '{
  "prompt": "Introducing the next generation of productivity. Work smarter, not harder.",
  "voice": "af_nicole",
  "speed": 1.1
}'

Podcast Host

bash
belt app run falai/kokoro-tts --input '{
  "prompt": "Welcome back to Tech Talk! Im your host, and today we are diving deep into the world of artificial intelligence.",
  "voice": "am_adam"
}'

Multi-Voice Conversation

bash
# Generate dialogue between two speakers
# Speaker 1
belt app run falai/kokoro-tts --input '{
  "prompt": "Have you seen the latest AI developments? Its incredible how fast things are moving.",
  "voice": "am_michael"
}' > speaker1.json

# Speaker 2
belt app run falai/kokoro-tts --input '{
  "prompt": "I know, right? Just last week I tried that new image generator and was blown away.",
  "voice": "af_sarah"
}' > speaker2.json

# Merge conversation (no inference.sh app concatenates audio; use ffmpeg locally)
curl -L -o speaker1.mp3 "<speaker1-url>"
curl -L -o speaker2.mp3 "<speaker2-url>"
ffmpeg -i speaker1.mp3 -i speaker2.mp3 -filter_complex "acrossfade=d=0.3" conversation.mp3

Long-Form Content

Chunked Processing

For content over 5000 characters, split into chunks:

bash
# Process long text in chunks
TEXT="Your very long text here..."

# Split and generate
# Chunk 1
belt app run falai/kokoro-tts --input '{
  "prompt": "<chunk-1>",
  "voice": "bf_emma",
  "language": "british-english"
}' > chunk1.json

# Chunk 2
belt app run falai/kokoro-tts --input '{
  "prompt": "<chunk-2>",
  "voice": "bf_emma",
  "language": "british-english"
}' > chunk2.json

# Merge chunks (no inference.sh app concatenates audio; use ffmpeg locally)
curl -L -o chunk1.mp3 "<chunk1-url>"
curl -L -o chunk2.mp3 "<chunk2-url>"
ffmpeg -i chunk1.mp3 -i chunk2.mp3 -filter_complex "acrossfade=d=0.1" narration.mp3

Voice + Video Workflow

Add Voiceover to Video

bash
# 1. Generate voiceover
belt app run falai/kokoro-tts --input '{
  "prompt": "This stunning footage shows the beauty of nature in its purest form.",
  "voice": "am_michael"
}' > voiceover.json

# 2. Merge with video
belt app run infsh/video-audio-merger --input '{
  "video_file": "https://your-video.mp4",
  "audio_file": "<voiceover-url>"
}'

Create Talking Head

bash
# 1. Generate speech
belt app run falai/kokoro-tts --input '{
  "prompt": "Hi, Im excited to share some updates with you today.",
  "voice": "af_sarah"
}' > speech.json

# 2. Animate with avatar
belt app run bytedance/omnihuman-1-5 --input '{
  "image": "https://portrait.jpg",
  "audio": "<speech-url>"
}'

Speed and Pacing

SpeedEffectUse For
0.8Slow, deliberateAudiobooks, meditation
0.9Slightly slowEducation, tutorials
1.0NormalGeneral purpose
1.1Slightly fastCommercials, energy
1.2FastQuick announcements
bash
# Slow narration
belt app run falai/kokoro-tts --input '{
  "prompt": "Take a deep breath. Let yourself relax.",
  "voice": "bf_emma",
  "language": "british-english",
  "speed": 0.8
}'

Punctuation for Pacing

Use punctuation to control speech rhythm:

PunctuationEffect
Period .Full pause
Comma ,Brief pause
...Extended pause
!Emphasis
?Question intonation
-Quick break
bash
belt app run falai/kokoro-tts --input '{
  "prompt": "Wait... Did you hear that? Something is coming. Something big!",
  "voice": "am_adam"
}'

Best Practices

  1. Match voice to content - Professional voice for business, casual for social
  2. Use punctuation - Control pacing with periods and commas
  3. Keep sentences short - Easier to generate and sounds more natural
  4. Test different voices - Same text sounds different across voices
  5. Adjust speed - Slightly slower often sounds more natural
  6. Break long content - Process in chunks for consistency

Use Cases

  • Voiceovers - Video narration, commercials
  • Audiobooks - Full book narration
  • Podcasts - AI hosts and guests
  • E-learning - Course narration
  • Accessibility - Screen reader content
  • IVR - Phone system messages
  • Content localization - Translate and voice

Related Skills

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

# ElevenLabs voice changer (transform recordings)
npx skills add inference-sh/skills@elevenlabs-voice-changer

# All TTS models
npx skills add inference-sh/skills@text-to-speech

# Podcast creation
npx skills add inference-sh/skills@ai-podcast-creation

# AI avatars
npx skills add inference-sh/skills@ai-avatar-video

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

# Full platform skill
npx skills add inference-sh/skills@infsh-cli

Browse audio apps: belt app list --category audio

Frequently asked questions

What does the Ai Voice Cloning AI skill do?

AI voice generation, text-to-speech, and voice synthesis via inference.sh CLI. Models: Inworld TTS-2 (100+ languages, emotion/non-verbal steering), Inworld TTS 1.5 (ultra-low latency), ElevenLabs (22+ premium voices, 32 languages), Kokoro TTS, DIA, Chatterbox, Higgs, VibeVoice for natural speech. Capabilities: multiple voices, emotions, accents, long-form narration, conversation, voice transformation, delivery mode control, character voices. Use for: voiceovers, audiobooks, podcasts, video narration, accessibility, gaming NPCs, avatar audio, UGC. Triggers: voice cloning, tts, text to speech...

Why use Ai Voice Cloning on TypingMind?

Because you install it once and use it with any model. Ai Voice Cloning is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ai Voice Cloning in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/inference-sh/skills/tree/main/tools/audio/ai-voice-cloning. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ai Voice Cloning?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ai Voice Cloning?

As many as you like. As long as a model supports skills, you can use Ai Voice Cloning with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ai Voice Cloning AI skill free?

It is published on GitHub by inference-sh. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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