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AI-Critic

A modular video generation pipeline that creates art criticism dialogues and voice narration using Claude and ElevenLabs, designed to work with Unreal Engine's Audio Driven Animation for MetaHumans.

Features

  • 🎨 AI Art Analysis: Generate sophisticated art criticism dialogue using Claude
  • 🎙️ Voice Generation: Convert dialogue to high-quality MP3 speech using ElevenLabs
  • 🎭 Unreal Integration: Designed to work seamlessly with Unreal Engine's Audio Driven Animation for MetaHumans
  • 📁 Workspace Management: Organized file structure for incremental video production
  • 🔧 Modular Pipeline: Run individual steps or the complete workflow
  • 💰 Cost Efficient: Re-run individual steps without burning API credits

Setup

Prerequisites

  1. Node.js Environment

    npm install
  2. Unreal Engine (for MetaHuman animation using Audio Driven Animation)

    • Download from Epic Games Launcher
    • Import MetaHuman characters from MetaHuman Creator
    • Enable Audio Driven Animation plugin
  3. API Keys

    # Required for script generationexport ANTHROPIC_API_KEY='your-anthropic-api-key'# Required for voice generationexport ELEVENLABS_API_KEY='your-elevenlabs-api-key'
  4. Python Environment (for Unreal Engine automation)

    # One-time setup
    ./setup_python.sh
    # For each sessionsource venv/bin/activate

Project Structure

src/
├── js/ # JavaScript pipeline (Text → Voice)
│ ├── generateFullPipeline.js # Main pipeline orchestrator (script + voice)
│ ├── generateScriptText.js # Claude API integration (text generation only)
│ ├── voiceGeneration.js # ElevenLabs API integration (speech synthesis)
│ ├── parseScript.js # Script parsing utilities
│ └── workspaceUtils.js # Workspace management utilities
└── python/ # Python scripts (Unreal automation)
└── requirements.txt # Python dependencies
workspace/ # Auto-generated workspaces (git-ignored)
└── artwork_name_timestamp/
├── script.txt # Raw generated script
├── dialogue.json # Parsed dialogue lines
└── audio/ # Generated voice files (MP3 format)
├── 01_elena.mp3 # Elena's first line
├── 02_marcus.mp3 # Marcus's first line
└── ... # Alternating dialogue

Usage

Full Pipeline (Recommended)

Generate both script and voice files in one command:

node src/js/generateFullPipeline.js "sample/sample_image.png""Electric Dreams""AI"

Output:

  • Creates timestamped workspace folder
  • Generates script with Claude API
  • Parses dialogue into structured format
  • Creates voice files with ElevenLabs API
  • Organizes all files for video production

Individual Steps

1. Script Generation Only

Generate script and dialogue files without voice synthesis:

node src/js/generateScriptText.js "sample/sample_image.png""Electric Dreams""AI"

Use when:

  • Testing different prompts/artwork
  • Iterating on script content
  • Saving ElevenLabs API costs

2. Voice Generation Only

Generate voice files from existing dialogue:

node src/js/voiceGeneration.js "workspace/electric_dreams_2025-08-09T00-42-24"

Use when:

  • Re-generating with different voices
  • Fixing audio quality issues
  • Testing different voice settings
  • Saving Claude API costs

Example Workflow

# 1. Generate script first (uses Claude API)
node src/js/generateScriptText.js "my-artwork.jpg""Starry Night""Van Gogh"# 2. Iterate on voice generation (uses ElevenLabs API)
node src/js/voiceGeneration.js "workspace/starry_night_2025-08-09T12-00-00"# 3. Re-run voice with adjustments if needed
node src/js/voiceGeneration.js "workspace/starry_night_2025-08-09T12-00-00"

Audio Quality

The voice generation system creates high-quality MP3 files optimized for Unreal Engine's Audio Driven Animation:

High-Quality MP3 Files

  • Generated directly from ElevenLabs API in high-quality format
  • Professional audio quality suitable for video production
  • Compatible with Unreal Engine's Audio Driven Animation system
  • Optimized for MetaHuman facial animation processing

Benefits

  • Cost Efficient: Single API call per dialogue line
  • Quality Preservation: Direct high-quality output from ElevenLabs
  • Unreal Integration: Format compatible with Audio Driven Animation
  • Simplified Workflow: No additional transcoding required

Voice Characters

The system uses two distinct art critics:

  • Elena (CRITIC A): Academic, formal voice - focuses on art history and technique
  • Marcus (CRITIC B): Contemporary, conversational voice - focuses on cultural relevance

File Outputs

Each generation creates a workspace with:

workspace/artwork_name_timestamp/
├── script.txt # Full dialogue script
├── dialogue.json # Structured dialogue data
└── audio/ # Generated voice files (MP3 format)
├── 01_elena.mp3 # Elena's first line
├── 02_marcus.mp3 # Marcus's first line
└── ... # Alternating dialogue

Error Handling

  • Missing API Keys: Scripts check for required environment variables
  • Invalid Workspaces: Voice generation validates workspace structure
  • Partial Failures: Individual voice line failures don't stop the process
  • File Conflicts: Timestamped folders prevent overwrites

Cost Optimization

  • Script-only runs: Test content without voice generation costs
  • Voice-only runs: Iterate on audio without re-generating scripts
  • Workspace reuse: Point voice generation at any existing folder
  • Batch processing: Generate multiple artworks efficiently
  • Single format output: Streamlined workflow reduces complexity and costs

Unreal Engine Audio Driven Animation

The generated MP3 files are designed to work with Unreal Engine's new Audio Driven Animation feature for MetaHumans:

Setup in Unreal Engine

  1. Enable Audio Driven Animation Plugin

    • In Unreal Engine, go to Edit → Plugins
    • Search for "Audio Driven Animation"
    • Enable the plugin and restart the engine
  2. Import MetaHuman Character

    • Use MetaHuman Creator to design your characters
    • Import the characters into your Unreal project
    • Ensure the MetaHuman has proper facial rig setup
  3. Configure Audio Driven Animation

    • Add Audio Driven Animation component to your MetaHuman
    • Configure the audio analysis settings
    • Map audio frequencies to facial blendshapes

Workflow

# 1. Generate script and voice files
node src/js/generateFullPipeline.js "artwork.jpg""Title""Artist"# 2. Import MP3 files into Unreal Engine# 3. Set up Audio Driven Animation on MetaHuman characters# 4. Configure audio analysis and blendshape mapping# 5. Use Sequencer to create your animated scenes# 6. Render with Movie Render Queue

Next Steps

Generated files are ready for:

  • Unreal Engine: Import MP3 files and configure Audio Driven Animation
  • MetaHuman Setup: Apply audio-driven facial animation to your characters
  • Video Production: Use Sequencer and Movie Render Queue for automated rendering
  • Distribution/Publishing: Create professional-quality art criticism videos

About

Video generation project integrating Claude, ElevenLabs, and Unreal Engine

Resources

Stars

1 star

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

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GitHub - CLowbrow/AI-Critic: Video generation project integrating Claude, ElevenLabs, and Unreal Engine · GitHub
Skip to content

Repository files navigation

AI-Critic

A modular video generation pipeline that creates art criticism dialogues and voice narration using Claude and ElevenLabs, designed to work with Unreal Engine's Audio Driven Animation for MetaHumans.

Features

  • 🎨 AI Art Analysis: Generate sophisticated art criticism dialogue using Claude
  • 🎙️ Voice Generation: Convert dialogue to high-quality MP3 speech using ElevenLabs
  • 🎭 Unreal Integration: Designed to work seamlessly with Unreal Engine's Audio Driven Animation for MetaHumans
  • 📁 Workspace Management: Organized file structure for incremental video production
  • 🔧 Modular Pipeline: Run individual steps or the complete workflow
  • 💰 Cost Efficient: Re-run individual steps without burning API credits

Setup

Prerequisites

  1. Node.js Environment

    npm install
  2. Unreal Engine (for MetaHuman animation using Audio Driven Animation)

    • Download from Epic Games Launcher
    • Import MetaHuman characters from MetaHuman Creator
    • Enable Audio Driven Animation plugin
  3. API Keys

    # Required for script generationexport ANTHROPIC_API_KEY='your-anthropic-api-key'# Required for voice generationexport ELEVENLABS_API_KEY='your-elevenlabs-api-key'
  4. Python Environment (for Unreal Engine automation)

    # One-time setup
    ./setup_python.sh
    # For each sessionsource venv/bin/activate

Project Structure

src/
├── js/ # JavaScript pipeline (Text → Voice)
│ ├── generateFullPipeline.js # Main pipeline orchestrator (script + voice)
│ ├── generateScriptText.js # Claude API integration (text generation only)
│ ├── voiceGeneration.js # ElevenLabs API integration (speech synthesis)
│ ├── parseScript.js # Script parsing utilities
│ └── workspaceUtils.js # Workspace management utilities
└── python/ # Python scripts (Unreal automation)
└── requirements.txt # Python dependencies
workspace/ # Auto-generated workspaces (git-ignored)
└── artwork_name_timestamp/
├── script.txt # Raw generated script
├── dialogue.json # Parsed dialogue lines
└── audio/ # Generated voice files (MP3 format)
├── 01_elena.mp3 # Elena's first line
├── 02_marcus.mp3 # Marcus's first line
└── ... # Alternating dialogue

Usage

Full Pipeline (Recommended)

Generate both script and voice files in one command:

node src/js/generateFullPipeline.js "sample/sample_image.png""Electric Dreams""AI"

Output:

  • Creates timestamped workspace folder
  • Generates script with Claude API
  • Parses dialogue into structured format
  • Creates voice files with ElevenLabs API
  • Organizes all files for video production

Individual Steps

1. Script Generation Only

Generate script and dialogue files without voice synthesis:

node src/js/generateScriptText.js "sample/sample_image.png""Electric Dreams""AI"

Use when:

  • Testing different prompts/artwork
  • Iterating on script content
  • Saving ElevenLabs API costs

2. Voice Generation Only

Generate voice files from existing dialogue:

node src/js/voiceGeneration.js "workspace/electric_dreams_2025-08-09T00-42-24"

Use when:

  • Re-generating with different voices
  • Fixing audio quality issues
  • Testing different voice settings
  • Saving Claude API costs

Example Workflow

# 1. Generate script first (uses Claude API)
node src/js/generateScriptText.js "my-artwork.jpg""Starry Night""Van Gogh"# 2. Iterate on voice generation (uses ElevenLabs API)
node src/js/voiceGeneration.js "workspace/starry_night_2025-08-09T12-00-00"# 3. Re-run voice with adjustments if needed
node src/js/voiceGeneration.js "workspace/starry_night_2025-08-09T12-00-00"

Audio Quality

The voice generation system creates high-quality MP3 files optimized for Unreal Engine's Audio Driven Animation:

High-Quality MP3 Files

  • Generated directly from ElevenLabs API in high-quality format
  • Professional audio quality suitable for video production
  • Compatible with Unreal Engine's Audio Driven Animation system
  • Optimized for MetaHuman facial animation processing

Benefits

  • Cost Efficient: Single API call per dialogue line
  • Quality Preservation: Direct high-quality output from ElevenLabs
  • Unreal Integration: Format compatible with Audio Driven Animation
  • Simplified Workflow: No additional transcoding required

Voice Characters

The system uses two distinct art critics:

  • Elena (CRITIC A): Academic, formal voice - focuses on art history and technique
  • Marcus (CRITIC B): Contemporary, conversational voice - focuses on cultural relevance

File Outputs

Each generation creates a workspace with:

workspace/artwork_name_timestamp/
├── script.txt # Full dialogue script
├── dialogue.json # Structured dialogue data
└── audio/ # Generated voice files (MP3 format)
├── 01_elena.mp3 # Elena's first line
├── 02_marcus.mp3 # Marcus's first line
└── ... # Alternating dialogue

Error Handling

  • Missing API Keys: Scripts check for required environment variables
  • Invalid Workspaces: Voice generation validates workspace structure
  • Partial Failures: Individual voice line failures don't stop the process
  • File Conflicts: Timestamped folders prevent overwrites

Cost Optimization

  • Script-only runs: Test content without voice generation costs
  • Voice-only runs: Iterate on audio without re-generating scripts
  • Workspace reuse: Point voice generation at any existing folder
  • Batch processing: Generate multiple artworks efficiently
  • Single format output: Streamlined workflow reduces complexity and costs

Unreal Engine Audio Driven Animation

The generated MP3 files are designed to work with Unreal Engine's new Audio Driven Animation feature for MetaHumans:

Setup in Unreal Engine

  1. Enable Audio Driven Animation Plugin

    • In Unreal Engine, go to Edit → Plugins
    • Search for "Audio Driven Animation"
    • Enable the plugin and restart the engine
  2. Import MetaHuman Character

    • Use MetaHuman Creator to design your characters
    • Import the characters into your Unreal project
    • Ensure the MetaHuman has proper facial rig setup
  3. Configure Audio Driven Animation

    • Add Audio Driven Animation component to your MetaHuman
    • Configure the audio analysis settings
    • Map audio frequencies to facial blendshapes

Workflow

# 1. Generate script and voice files
node src/js/generateFullPipeline.js "artwork.jpg""Title""Artist"# 2. Import MP3 files into Unreal Engine# 3. Set up Audio Driven Animation on MetaHuman characters# 4. Configure audio analysis and blendshape mapping# 5. Use Sequencer to create your animated scenes# 6. Render with Movie Render Queue

Next Steps

Generated files are ready for:

  • Unreal Engine: Import MP3 files and configure Audio Driven Animation
  • MetaHuman Setup: Apply audio-driven facial animation to your characters
  • Video Production: Use Sequencer and Movie Render Queue for automated rendering
  • Distribution/Publishing: Create professional-quality art criticism videos

About

Video generation project integrating Claude, ElevenLabs, and Unreal Engine

Resources

Stars

1 star

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - CLowbrow/AI-Critic: Video generation project integrating Claude, ElevenLabs, and Unreal Engine · GitHub
Skip to content

Repository files navigation

AI-Critic

A modular video generation pipeline that creates art criticism dialogues and voice narration using Claude and ElevenLabs, designed to work with Unreal Engine's Audio Driven Animation for MetaHumans.

Features

  • 🎨 AI Art Analysis: Generate sophisticated art criticism dialogue using Claude
  • 🎙️ Voice Generation: Convert dialogue to high-quality MP3 speech using ElevenLabs
  • 🎭 Unreal Integration: Designed to work seamlessly with Unreal Engine's Audio Driven Animation for MetaHumans
  • 📁 Workspace Management: Organized file structure for incremental video production
  • 🔧 Modular Pipeline: Run individual steps or the complete workflow
  • 💰 Cost Efficient: Re-run individual steps without burning API credits

Setup

Prerequisites

  1. Node.js Environment

    npm install
  2. Unreal Engine (for MetaHuman animation using Audio Driven Animation)

    • Download from Epic Games Launcher
    • Import MetaHuman characters from MetaHuman Creator
    • Enable Audio Driven Animation plugin
  3. API Keys

    # Required for script generationexport ANTHROPIC_API_KEY='your-anthropic-api-key'# Required for voice generationexport ELEVENLABS_API_KEY='your-elevenlabs-api-key'
  4. Python Environment (for Unreal Engine automation)

    # One-time setup
    ./setup_python.sh
    # For each sessionsource venv/bin/activate

Project Structure

src/
├── js/ # JavaScript pipeline (Text → Voice)
│ ├── generateFullPipeline.js # Main pipeline orchestrator (script + voice)
│ ├── generateScriptText.js # Claude API integration (text generation only)
│ ├── voiceGeneration.js # ElevenLabs API integration (speech synthesis)
│ ├── parseScript.js # Script parsing utilities
│ └── workspaceUtils.js # Workspace management utilities
└── python/ # Python scripts (Unreal automation)
└── requirements.txt # Python dependencies
workspace/ # Auto-generated workspaces (git-ignored)
└── artwork_name_timestamp/
├── script.txt # Raw generated script
├── dialogue.json # Parsed dialogue lines
└── audio/ # Generated voice files (MP3 format)
├── 01_elena.mp3 # Elena's first line
├── 02_marcus.mp3 # Marcus's first line
└── ... # Alternating dialogue

Usage

Full Pipeline (Recommended)

Generate both script and voice files in one command:

node src/js/generateFullPipeline.js "sample/sample_image.png""Electric Dreams""AI"

Output:

  • Creates timestamped workspace folder
  • Generates script with Claude API
  • Parses dialogue into structured format
  • Creates voice files with ElevenLabs API
  • Organizes all files for video production

Individual Steps

1. Script Generation Only

Generate script and dialogue files without voice synthesis:

node src/js/generateScriptText.js "sample/sample_image.png""Electric Dreams""AI"

Use when:

  • Testing different prompts/artwork
  • Iterating on script content
  • Saving ElevenLabs API costs

2. Voice Generation Only

Generate voice files from existing dialogue:

node src/js/voiceGeneration.js "workspace/electric_dreams_2025-08-09T00-42-24"

Use when:

  • Re-generating with different voices
  • Fixing audio quality issues
  • Testing different voice settings
  • Saving Claude API costs

Example Workflow

# 1. Generate script first (uses Claude API)
node src/js/generateScriptText.js "my-artwork.jpg""Starry Night""Van Gogh"# 2. Iterate on voice generation (uses ElevenLabs API)
node src/js/voiceGeneration.js "workspace/starry_night_2025-08-09T12-00-00"# 3. Re-run voice with adjustments if needed
node src/js/voiceGeneration.js "workspace/starry_night_2025-08-09T12-00-00"

Audio Quality

The voice generation system creates high-quality MP3 files optimized for Unreal Engine's Audio Driven Animation:

High-Quality MP3 Files

  • Generated directly from ElevenLabs API in high-quality format
  • Professional audio quality suitable for video production
  • Compatible with Unreal Engine's Audio Driven Animation system
  • Optimized for MetaHuman facial animation processing

Benefits

  • Cost Efficient: Single API call per dialogue line
  • Quality Preservation: Direct high-quality output from ElevenLabs
  • Unreal Integration: Format compatible with Audio Driven Animation
  • Simplified Workflow: No additional transcoding required

Voice Characters

The system uses two distinct art critics:

  • Elena (CRITIC A): Academic, formal voice - focuses on art history and technique
  • Marcus (CRITIC B): Contemporary, conversational voice - focuses on cultural relevance

File Outputs

Each generation creates a workspace with:

workspace/artwork_name_timestamp/
├── script.txt # Full dialogue script
├── dialogue.json # Structured dialogue data
└── audio/ # Generated voice files (MP3 format)
├── 01_elena.mp3 # Elena's first line
├── 02_marcus.mp3 # Marcus's first line
└── ... # Alternating dialogue

Error Handling

  • Missing API Keys: Scripts check for required environment variables
  • Invalid Workspaces: Voice generation validates workspace structure
  • Partial Failures: Individual voice line failures don't stop the process
  • File Conflicts: Timestamped folders prevent overwrites

Cost Optimization

  • Script-only runs: Test content without voice generation costs
  • Voice-only runs: Iterate on audio without re-generating scripts
  • Workspace reuse: Point voice generation at any existing folder
  • Batch processing: Generate multiple artworks efficiently
  • Single format output: Streamlined workflow reduces complexity and costs

Unreal Engine Audio Driven Animation

The generated MP3 files are designed to work with Unreal Engine's new Audio Driven Animation feature for MetaHumans:

Setup in Unreal Engine

  1. Enable Audio Driven Animation Plugin

    • In Unreal Engine, go to Edit → Plugins
    • Search for "Audio Driven Animation"
    • Enable the plugin and restart the engine
  2. Import MetaHuman Character

    • Use MetaHuman Creator to design your characters
    • Import the characters into your Unreal project
    • Ensure the MetaHuman has proper facial rig setup
  3. Configure Audio Driven Animation

    • Add Audio Driven Animation component to your MetaHuman
    • Configure the audio analysis settings
    • Map audio frequencies to facial blendshapes

Workflow

# 1. Generate script and voice files
node src/js/generateFullPipeline.js "artwork.jpg""Title""Artist"# 2. Import MP3 files into Unreal Engine# 3. Set up Audio Driven Animation on MetaHuman characters# 4. Configure audio analysis and blendshape mapping# 5. Use Sequencer to create your animated scenes# 6. Render with Movie Render Queue

Next Steps

Generated files are ready for:

  • Unreal Engine: Import MP3 files and configure Audio Driven Animation
  • MetaHuman Setup: Apply audio-driven facial animation to your characters
  • Video Production: Use Sequencer and Movie Render Queue for automated rendering
  • Distribution/Publishing: Create professional-quality art criticism videos

About

Video generation project integrating Claude, ElevenLabs, and Unreal Engine

Resources

Stars

1 star

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - CLowbrow/AI-Critic: Video generation project integrating Claude, ElevenLabs, and Unreal Engine · GitHub
Skip to content

Repository files navigation

AI-Critic

A modular video generation pipeline that creates art criticism dialogues and voice narration using Claude and ElevenLabs, designed to work with Unreal Engine's Audio Driven Animation for MetaHumans.

Features

  • 🎨 AI Art Analysis: Generate sophisticated art criticism dialogue using Claude
  • 🎙️ Voice Generation: Convert dialogue to high-quality MP3 speech using ElevenLabs
  • 🎭 Unreal Integration: Designed to work seamlessly with Unreal Engine's Audio Driven Animation for MetaHumans
  • 📁 Workspace Management: Organized file structure for incremental video production
  • 🔧 Modular Pipeline: Run individual steps or the complete workflow
  • 💰 Cost Efficient: Re-run individual steps without burning API credits

Setup

Prerequisites

  1. Node.js Environment

    npm install
  2. Unreal Engine (for MetaHuman animation using Audio Driven Animation)

    • Download from Epic Games Launcher
    • Import MetaHuman characters from MetaHuman Creator
    • Enable Audio Driven Animation plugin
  3. API Keys

    # Required for script generationexport ANTHROPIC_API_KEY='your-anthropic-api-key'# Required for voice generationexport ELEVENLABS_API_KEY='your-elevenlabs-api-key'
  4. Python Environment (for Unreal Engine automation)

    # One-time setup
    ./setup_python.sh
    # For each sessionsource venv/bin/activate

Project Structure

src/
├── js/ # JavaScript pipeline (Text → Voice)
│ ├── generateFullPipeline.js # Main pipeline orchestrator (script + voice)
│ ├── generateScriptText.js # Claude API integration (text generation only)
│ ├── voiceGeneration.js # ElevenLabs API integration (speech synthesis)
│ ├── parseScript.js # Script parsing utilities
│ └── workspaceUtils.js # Workspace management utilities
└── python/ # Python scripts (Unreal automation)
└── requirements.txt # Python dependencies
workspace/ # Auto-generated workspaces (git-ignored)
└── artwork_name_timestamp/
├── script.txt # Raw generated script
├── dialogue.json # Parsed dialogue lines
└── audio/ # Generated voice files (MP3 format)
├── 01_elena.mp3 # Elena's first line
├── 02_marcus.mp3 # Marcus's first line
└── ... # Alternating dialogue

Usage

Full Pipeline (Recommended)

Generate both script and voice files in one command:

node src/js/generateFullPipeline.js "sample/sample_image.png""Electric Dreams""AI"

Output:

  • Creates timestamped workspace folder
  • Generates script with Claude API
  • Parses dialogue into structured format
  • Creates voice files with ElevenLabs API
  • Organizes all files for video production

Individual Steps

1. Script Generation Only

Generate script and dialogue files without voice synthesis:

node src/js/generateScriptText.js "sample/sample_image.png""Electric Dreams""AI"

Use when:

  • Testing different prompts/artwork
  • Iterating on script content
  • Saving ElevenLabs API costs

2. Voice Generation Only

Generate voice files from existing dialogue:

node src/js/voiceGeneration.js "workspace/electric_dreams_2025-08-09T00-42-24"

Use when:

  • Re-generating with different voices
  • Fixing audio quality issues
  • Testing different voice settings
  • Saving Claude API costs

Example Workflow

# 1. Generate script first (uses Claude API)
node src/js/generateScriptText.js "my-artwork.jpg""Starry Night""Van Gogh"# 2. Iterate on voice generation (uses ElevenLabs API)
node src/js/voiceGeneration.js "workspace/starry_night_2025-08-09T12-00-00"# 3. Re-run voice with adjustments if needed
node src/js/voiceGeneration.js "workspace/starry_night_2025-08-09T12-00-00"

Audio Quality

The voice generation system creates high-quality MP3 files optimized for Unreal Engine's Audio Driven Animation:

High-Quality MP3 Files

  • Generated directly from ElevenLabs API in high-quality format
  • Professional audio quality suitable for video production
  • Compatible with Unreal Engine's Audio Driven Animation system
  • Optimized for MetaHuman facial animation processing

Benefits

  • Cost Efficient: Single API call per dialogue line
  • Quality Preservation: Direct high-quality output from ElevenLabs
  • Unreal Integration: Format compatible with Audio Driven Animation
  • Simplified Workflow: No additional transcoding required

Voice Characters

The system uses two distinct art critics:

  • Elena (CRITIC A): Academic, formal voice - focuses on art history and technique
  • Marcus (CRITIC B): Contemporary, conversational voice - focuses on cultural relevance

File Outputs

Each generation creates a workspace with:

workspace/artwork_name_timestamp/
├── script.txt # Full dialogue script
├── dialogue.json # Structured dialogue data
└── audio/ # Generated voice files (MP3 format)
├── 01_elena.mp3 # Elena's first line
├── 02_marcus.mp3 # Marcus's first line
└── ... # Alternating dialogue

Error Handling

  • Missing API Keys: Scripts check for required environment variables
  • Invalid Workspaces: Voice generation validates workspace structure
  • Partial Failures: Individual voice line failures don't stop the process
  • File Conflicts: Timestamped folders prevent overwrites

Cost Optimization

  • Script-only runs: Test content without voice generation costs
  • Voice-only runs: Iterate on audio without re-generating scripts
  • Workspace reuse: Point voice generation at any existing folder
  • Batch processing: Generate multiple artworks efficiently
  • Single format output: Streamlined workflow reduces complexity and costs

Unreal Engine Audio Driven Animation

The generated MP3 files are designed to work with Unreal Engine's new Audio Driven Animation feature for MetaHumans:

Setup in Unreal Engine

  1. Enable Audio Driven Animation Plugin

    • In Unreal Engine, go to Edit → Plugins
    • Search for "Audio Driven Animation"
    • Enable the plugin and restart the engine
  2. Import MetaHuman Character

    • Use MetaHuman Creator to design your characters
    • Import the characters into your Unreal project
    • Ensure the MetaHuman has proper facial rig setup
  3. Configure Audio Driven Animation

    • Add Audio Driven Animation component to your MetaHuman
    • Configure the audio analysis settings
    • Map audio frequencies to facial blendshapes

Workflow

# 1. Generate script and voice files
node src/js/generateFullPipeline.js "artwork.jpg""Title""Artist"# 2. Import MP3 files into Unreal Engine# 3. Set up Audio Driven Animation on MetaHuman characters# 4. Configure audio analysis and blendshape mapping# 5. Use Sequencer to create your animated scenes# 6. Render with Movie Render Queue

Next Steps

Generated files are ready for:

  • Unreal Engine: Import MP3 files and configure Audio Driven Animation
  • MetaHuman Setup: Apply audio-driven facial animation to your characters
  • Video Production: Use Sequencer and Movie Render Queue for automated rendering
  • Distribution/Publishing: Create professional-quality art criticism videos

About

Video generation project integrating Claude, ElevenLabs, and Unreal Engine

Resources

Stars

1 star

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' GitHub - CLowbrow/AI-Critic: Video generation project integrating Claude, ElevenLabs, and Unreal Engine · GitHub
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AI-Critic

A modular video generation pipeline that creates art criticism dialogues and voice narration using Claude and ElevenLabs, designed to work with Unreal Engine's Audio Driven Animation for MetaHumans.

Features

  • 🎨 AI Art Analysis: Generate sophisticated art criticism dialogue using Claude
  • 🎙️ Voice Generation: Convert dialogue to high-quality MP3 speech using ElevenLabs
  • 🎭 Unreal Integration: Designed to work seamlessly with Unreal Engine's Audio Driven Animation for MetaHumans
  • 📁 Workspace Management: Organized file structure for incremental video production
  • 🔧 Modular Pipeline: Run individual steps or the complete workflow
  • 💰 Cost Efficient: Re-run individual steps without burning API credits

Setup

Prerequisites

  1. Node.js Environment

    npm install
  2. Unreal Engine (for MetaHuman animation using Audio Driven Animation)

    • Download from Epic Games Launcher
    • Import MetaHuman characters from MetaHuman Creator
    • Enable Audio Driven Animation plugin
  3. API Keys

    # Required for script generationexport ANTHROPIC_API_KEY='your-anthropic-api-key'# Required for voice generationexport ELEVENLABS_API_KEY='your-elevenlabs-api-key'
  4. Python Environment (for Unreal Engine automation)

    # One-time setup
    ./setup_python.sh
    # For each sessionsource venv/bin/activate

Project Structure

src/
├── js/ # JavaScript pipeline (Text → Voice)
│ ├── generateFullPipeline.js # Main pipeline orchestrator (script + voice)
│ ├── generateScriptText.js # Claude API integration (text generation only)
│ ├── voiceGeneration.js # ElevenLabs API integration (speech synthesis)
│ ├── parseScript.js # Script parsing utilities
│ └── workspaceUtils.js # Workspace management utilities
└── python/ # Python scripts (Unreal automation)
└── requirements.txt # Python dependencies
workspace/ # Auto-generated workspaces (git-ignored)
└── artwork_name_timestamp/
├── script.txt # Raw generated script
├── dialogue.json # Parsed dialogue lines
└── audio/ # Generated voice files (MP3 format)
├── 01_elena.mp3 # Elena's first line
├── 02_marcus.mp3 # Marcus's first line
└── ... # Alternating dialogue

Usage

Full Pipeline (Recommended)

Generate both script and voice files in one command:

node src/js/generateFullPipeline.js "sample/sample_image.png""Electric Dreams""AI"

Output:

  • Creates timestamped workspace folder
  • Generates script with Claude API
  • Parses dialogue into structured format
  • Creates voice files with ElevenLabs API
  • Organizes all files for video production

Individual Steps

1. Script Generation Only

Generate script and dialogue files without voice synthesis:

node src/js/generateScriptText.js "sample/sample_image.png""Electric Dreams""AI"

Use when:

  • Testing different prompts/artwork
  • Iterating on script content
  • Saving ElevenLabs API costs

2. Voice Generation Only

Generate voice files from existing dialogue:

node src/js/voiceGeneration.js "workspace/electric_dreams_2025-08-09T00-42-24"

Use when:

  • Re-generating with different voices
  • Fixing audio quality issues
  • Testing different voice settings
  • Saving Claude API costs

Example Workflow

# 1. Generate script first (uses Claude API)
node src/js/generateScriptText.js "my-artwork.jpg""Starry Night""Van Gogh"# 2. Iterate on voice generation (uses ElevenLabs API)
node src/js/voiceGeneration.js "workspace/starry_night_2025-08-09T12-00-00"# 3. Re-run voice with adjustments if needed
node src/js/voiceGeneration.js "workspace/starry_night_2025-08-09T12-00-00"

Audio Quality

The voice generation system creates high-quality MP3 files optimized for Unreal Engine's Audio Driven Animation:

High-Quality MP3 Files

  • Generated directly from ElevenLabs API in high-quality format
  • Professional audio quality suitable for video production
  • Compatible with Unreal Engine's Audio Driven Animation system
  • Optimized for MetaHuman facial animation processing

Benefits

  • Cost Efficient: Single API call per dialogue line
  • Quality Preservation: Direct high-quality output from ElevenLabs
  • Unreal Integration: Format compatible with Audio Driven Animation
  • Simplified Workflow: No additional transcoding required

Voice Characters

The system uses two distinct art critics:

  • Elena (CRITIC A): Academic, formal voice - focuses on art history and technique
  • Marcus (CRITIC B): Contemporary, conversational voice - focuses on cultural relevance

File Outputs

Each generation creates a workspace with:

workspace/artwork_name_timestamp/
├── script.txt # Full dialogue script
├── dialogue.json # Structured dialogue data
└── audio/ # Generated voice files (MP3 format)
├── 01_elena.mp3 # Elena's first line
├── 02_marcus.mp3 # Marcus's first line
└── ... # Alternating dialogue

Error Handling

  • Missing API Keys: Scripts check for required environment variables
  • Invalid Workspaces: Voice generation validates workspace structure
  • Partial Failures: Individual voice line failures don't stop the process
  • File Conflicts: Timestamped folders prevent overwrites

Cost Optimization

  • Script-only runs: Test content without voice generation costs
  • Voice-only runs: Iterate on audio without re-generating scripts
  • Workspace reuse: Point voice generation at any existing folder
  • Batch processing: Generate multiple artworks efficiently
  • Single format output: Streamlined workflow reduces complexity and costs

Unreal Engine Audio Driven Animation

The generated MP3 files are designed to work with Unreal Engine's new Audio Driven Animation feature for MetaHumans:

Setup in Unreal Engine

  1. Enable Audio Driven Animation Plugin

    • In Unreal Engine, go to Edit → Plugins
    • Search for "Audio Driven Animation"
    • Enable the plugin and restart the engine
  2. Import MetaHuman Character

    • Use MetaHuman Creator to design your characters
    • Import the characters into your Unreal project
    • Ensure the MetaHuman has proper facial rig setup
  3. Configure Audio Driven Animation

    • Add Audio Driven Animation component to your MetaHuman
    • Configure the audio analysis settings
    • Map audio frequencies to facial blendshapes

Workflow

# 1. Generate script and voice files
node src/js/generateFullPipeline.js "artwork.jpg""Title""Artist"# 2. Import MP3 files into Unreal Engine# 3. Set up Audio Driven Animation on MetaHuman characters# 4. Configure audio analysis and blendshape mapping# 5. Use Sequencer to create your animated scenes# 6. Render with Movie Render Queue

Next Steps

Generated files are ready for:

  • Unreal Engine: Import MP3 files and configure Audio Driven Animation
  • MetaHuman Setup: Apply audio-driven facial animation to your characters
  • Video Production: Use Sequencer and Movie Render Queue for automated rendering
  • Distribution/Publishing: Create professional-quality art criticism videos

About

Video generation project integrating Claude, ElevenLabs, and Unreal Engine

Resources

Stars

1 star

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - CLowbrow/AI-Critic: Video generation project integrating Claude, ElevenLabs, and Unreal Engine · GitHub
Skip to content

Repository files navigation

AI-Critic

A modular video generation pipeline that creates art criticism dialogues and voice narration using Claude and ElevenLabs, designed to work with Unreal Engine's Audio Driven Animation for MetaHumans.

Features

  • 🎨 AI Art Analysis: Generate sophisticated art criticism dialogue using Claude
  • 🎙️ Voice Generation: Convert dialogue to high-quality MP3 speech using ElevenLabs
  • 🎭 Unreal Integration: Designed to work seamlessly with Unreal Engine's Audio Driven Animation for MetaHumans
  • 📁 Workspace Management: Organized file structure for incremental video production
  • 🔧 Modular Pipeline: Run individual steps or the complete workflow
  • 💰 Cost Efficient: Re-run individual steps without burning API credits

Setup

Prerequisites

  1. Node.js Environment

    npm install
  2. Unreal Engine (for MetaHuman animation using Audio Driven Animation)

    • Download from Epic Games Launcher
    • Import MetaHuman characters from MetaHuman Creator
    • Enable Audio Driven Animation plugin
  3. API Keys

    # Required for script generationexport ANTHROPIC_API_KEY='your-anthropic-api-key'# Required for voice generationexport ELEVENLABS_API_KEY='your-elevenlabs-api-key'
  4. Python Environment (for Unreal Engine automation)

    # One-time setup
    ./setup_python.sh
    # For each sessionsource venv/bin/activate

Project Structure

src/
├── js/ # JavaScript pipeline (Text → Voice)
│ ├── generateFullPipeline.js # Main pipeline orchestrator (script + voice)
│ ├── generateScriptText.js # Claude API integration (text generation only)
│ ├── voiceGeneration.js # ElevenLabs API integration (speech synthesis)
│ ├── parseScript.js # Script parsing utilities
│ └── workspaceUtils.js # Workspace management utilities
└── python/ # Python scripts (Unreal automation)
└── requirements.txt # Python dependencies
workspace/ # Auto-generated workspaces (git-ignored)
└── artwork_name_timestamp/
├── script.txt # Raw generated script
├── dialogue.json # Parsed dialogue lines
└── audio/ # Generated voice files (MP3 format)
├── 01_elena.mp3 # Elena's first line
├── 02_marcus.mp3 # Marcus's first line
└── ... # Alternating dialogue

Usage

Full Pipeline (Recommended)

Generate both script and voice files in one command:

node src/js/generateFullPipeline.js "sample/sample_image.png""Electric Dreams""AI"

Output:

  • Creates timestamped workspace folder
  • Generates script with Claude API
  • Parses dialogue into structured format
  • Creates voice files with ElevenLabs API
  • Organizes all files for video production

Individual Steps

1. Script Generation Only

Generate script and dialogue files without voice synthesis:

node src/js/generateScriptText.js "sample/sample_image.png""Electric Dreams""AI"

Use when:

  • Testing different prompts/artwork
  • Iterating on script content
  • Saving ElevenLabs API costs

2. Voice Generation Only

Generate voice files from existing dialogue:

node src/js/voiceGeneration.js "workspace/electric_dreams_2025-08-09T00-42-24"

Use when:

  • Re-generating with different voices
  • Fixing audio quality issues
  • Testing different voice settings
  • Saving Claude API costs

Example Workflow

# 1. Generate script first (uses Claude API)
node src/js/generateScriptText.js "my-artwork.jpg""Starry Night""Van Gogh"# 2. Iterate on voice generation (uses ElevenLabs API)
node src/js/voiceGeneration.js "workspace/starry_night_2025-08-09T12-00-00"# 3. Re-run voice with adjustments if needed
node src/js/voiceGeneration.js "workspace/starry_night_2025-08-09T12-00-00"

Audio Quality

The voice generation system creates high-quality MP3 files optimized for Unreal Engine's Audio Driven Animation:

High-Quality MP3 Files

  • Generated directly from ElevenLabs API in high-quality format
  • Professional audio quality suitable for video production
  • Compatible with Unreal Engine's Audio Driven Animation system
  • Optimized for MetaHuman facial animation processing

Benefits

  • Cost Efficient: Single API call per dialogue line
  • Quality Preservation: Direct high-quality output from ElevenLabs
  • Unreal Integration: Format compatible with Audio Driven Animation
  • Simplified Workflow: No additional transcoding required

Voice Characters

The system uses two distinct art critics:

  • Elena (CRITIC A): Academic, formal voice - focuses on art history and technique
  • Marcus (CRITIC B): Contemporary, conversational voice - focuses on cultural relevance

File Outputs

Each generation creates a workspace with:

workspace/artwork_name_timestamp/
├── script.txt # Full dialogue script
├── dialogue.json # Structured dialogue data
└── audio/ # Generated voice files (MP3 format)
├── 01_elena.mp3 # Elena's first line
├── 02_marcus.mp3 # Marcus's first line
└── ... # Alternating dialogue

Error Handling

  • Missing API Keys: Scripts check for required environment variables
  • Invalid Workspaces: Voice generation validates workspace structure
  • Partial Failures: Individual voice line failures don't stop the process
  • File Conflicts: Timestamped folders prevent overwrites

Cost Optimization

  • Script-only runs: Test content without voice generation costs
  • Voice-only runs: Iterate on audio without re-generating scripts
  • Workspace reuse: Point voice generation at any existing folder
  • Batch processing: Generate multiple artworks efficiently
  • Single format output: Streamlined workflow reduces complexity and costs

Unreal Engine Audio Driven Animation

The generated MP3 files are designed to work with Unreal Engine's new Audio Driven Animation feature for MetaHumans:

Setup in Unreal Engine

  1. Enable Audio Driven Animation Plugin

    • In Unreal Engine, go to Edit → Plugins
    • Search for "Audio Driven Animation"
    • Enable the plugin and restart the engine
  2. Import MetaHuman Character

    • Use MetaHuman Creator to design your characters
    • Import the characters into your Unreal project
    • Ensure the MetaHuman has proper facial rig setup
  3. Configure Audio Driven Animation

    • Add Audio Driven Animation component to your MetaHuman
    • Configure the audio analysis settings
    • Map audio frequencies to facial blendshapes

Workflow

# 1. Generate script and voice files
node src/js/generateFullPipeline.js "artwork.jpg""Title""Artist"# 2. Import MP3 files into Unreal Engine# 3. Set up Audio Driven Animation on MetaHuman characters# 4. Configure audio analysis and blendshape mapping# 5. Use Sequencer to create your animated scenes# 6. Render with Movie Render Queue

Next Steps

Generated files are ready for:

  • Unreal Engine: Import MP3 files and configure Audio Driven Animation
  • MetaHuman Setup: Apply audio-driven facial animation to your characters
  • Video Production: Use Sequencer and Movie Render Queue for automated rendering
  • Distribution/Publishing: Create professional-quality art criticism videos

About

Video generation project integrating Claude, ElevenLabs, and Unreal Engine

Resources

Stars

1 star

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - CLowbrow/AI-Critic: Video generation project integrating Claude, ElevenLabs, and Unreal Engine · GitHub
Skip to content

Repository files navigation

AI-Critic

A modular video generation pipeline that creates art criticism dialogues and voice narration using Claude and ElevenLabs, designed to work with Unreal Engine's Audio Driven Animation for MetaHumans.

Features

  • 🎨 AI Art Analysis: Generate sophisticated art criticism dialogue using Claude
  • 🎙️ Voice Generation: Convert dialogue to high-quality MP3 speech using ElevenLabs
  • 🎭 Unreal Integration: Designed to work seamlessly with Unreal Engine's Audio Driven Animation for MetaHumans
  • 📁 Workspace Management: Organized file structure for incremental video production
  • 🔧 Modular Pipeline: Run individual steps or the complete workflow
  • 💰 Cost Efficient: Re-run individual steps without burning API credits

Setup

Prerequisites

  1. Node.js Environment

    npm install
  2. Unreal Engine (for MetaHuman animation using Audio Driven Animation)

    • Download from Epic Games Launcher
    • Import MetaHuman characters from MetaHuman Creator
    • Enable Audio Driven Animation plugin
  3. API Keys

    # Required for script generationexport ANTHROPIC_API_KEY='your-anthropic-api-key'# Required for voice generationexport ELEVENLABS_API_KEY='your-elevenlabs-api-key'
  4. Python Environment (for Unreal Engine automation)

    # One-time setup
    ./setup_python.sh
    # For each sessionsource venv/bin/activate

Project Structure

src/
├── js/ # JavaScript pipeline (Text → Voice)
│ ├── generateFullPipeline.js # Main pipeline orchestrator (script + voice)
│ ├── generateScriptText.js # Claude API integration (text generation only)
│ ├── voiceGeneration.js # ElevenLabs API integration (speech synthesis)
│ ├── parseScript.js # Script parsing utilities
│ └── workspaceUtils.js # Workspace management utilities
└── python/ # Python scripts (Unreal automation)
└── requirements.txt # Python dependencies
workspace/ # Auto-generated workspaces (git-ignored)
└── artwork_name_timestamp/
├── script.txt # Raw generated script
├── dialogue.json # Parsed dialogue lines
└── audio/ # Generated voice files (MP3 format)
├── 01_elena.mp3 # Elena's first line
├── 02_marcus.mp3 # Marcus's first line
└── ... # Alternating dialogue

Usage

Full Pipeline (Recommended)

Generate both script and voice files in one command:

node src/js/generateFullPipeline.js "sample/sample_image.png""Electric Dreams""AI"

Output:

  • Creates timestamped workspace folder
  • Generates script with Claude API
  • Parses dialogue into structured format
  • Creates voice files with ElevenLabs API
  • Organizes all files for video production

Individual Steps

1. Script Generation Only

Generate script and dialogue files without voice synthesis:

node src/js/generateScriptText.js "sample/sample_image.png""Electric Dreams""AI"

Use when:

  • Testing different prompts/artwork
  • Iterating on script content
  • Saving ElevenLabs API costs

2. Voice Generation Only

Generate voice files from existing dialogue:

node src/js/voiceGeneration.js "workspace/electric_dreams_2025-08-09T00-42-24"

Use when:

  • Re-generating with different voices
  • Fixing audio quality issues
  • Testing different voice settings
  • Saving Claude API costs

Example Workflow

# 1. Generate script first (uses Claude API)
node src/js/generateScriptText.js "my-artwork.jpg""Starry Night""Van Gogh"# 2. Iterate on voice generation (uses ElevenLabs API)
node src/js/voiceGeneration.js "workspace/starry_night_2025-08-09T12-00-00"# 3. Re-run voice with adjustments if needed
node src/js/voiceGeneration.js "workspace/starry_night_2025-08-09T12-00-00"

Audio Quality

The voice generation system creates high-quality MP3 files optimized for Unreal Engine's Audio Driven Animation:

High-Quality MP3 Files

  • Generated directly from ElevenLabs API in high-quality format
  • Professional audio quality suitable for video production
  • Compatible with Unreal Engine's Audio Driven Animation system
  • Optimized for MetaHuman facial animation processing

Benefits

  • Cost Efficient: Single API call per dialogue line
  • Quality Preservation: Direct high-quality output from ElevenLabs
  • Unreal Integration: Format compatible with Audio Driven Animation
  • Simplified Workflow: No additional transcoding required

Voice Characters

The system uses two distinct art critics:

  • Elena (CRITIC A): Academic, formal voice - focuses on art history and technique
  • Marcus (CRITIC B): Contemporary, conversational voice - focuses on cultural relevance

File Outputs

Each generation creates a workspace with:

workspace/artwork_name_timestamp/
├── script.txt # Full dialogue script
├── dialogue.json # Structured dialogue data
└── audio/ # Generated voice files (MP3 format)
├── 01_elena.mp3 # Elena's first line
├── 02_marcus.mp3 # Marcus's first line
└── ... # Alternating dialogue

Error Handling

  • Missing API Keys: Scripts check for required environment variables
  • Invalid Workspaces: Voice generation validates workspace structure
  • Partial Failures: Individual voice line failures don't stop the process
  • File Conflicts: Timestamped folders prevent overwrites

Cost Optimization

  • Script-only runs: Test content without voice generation costs
  • Voice-only runs: Iterate on audio without re-generating scripts
  • Workspace reuse: Point voice generation at any existing folder
  • Batch processing: Generate multiple artworks efficiently
  • Single format output: Streamlined workflow reduces complexity and costs

Unreal Engine Audio Driven Animation

The generated MP3 files are designed to work with Unreal Engine's new Audio Driven Animation feature for MetaHumans:

Setup in Unreal Engine

  1. Enable Audio Driven Animation Plugin

    • In Unreal Engine, go to Edit → Plugins
    • Search for "Audio Driven Animation"
    • Enable the plugin and restart the engine
  2. Import MetaHuman Character

    • Use MetaHuman Creator to design your characters
    • Import the characters into your Unreal project
    • Ensure the MetaHuman has proper facial rig setup
  3. Configure Audio Driven Animation

    • Add Audio Driven Animation component to your MetaHuman
    • Configure the audio analysis settings
    • Map audio frequencies to facial blendshapes

Workflow

# 1. Generate script and voice files
node src/js/generateFullPipeline.js "artwork.jpg""Title""Artist"# 2. Import MP3 files into Unreal Engine# 3. Set up Audio Driven Animation on MetaHuman characters# 4. Configure audio analysis and blendshape mapping# 5. Use Sequencer to create your animated scenes# 6. Render with Movie Render Queue

Next Steps

Generated files are ready for:

  • Unreal Engine: Import MP3 files and configure Audio Driven Animation
  • MetaHuman Setup: Apply audio-driven facial animation to your characters
  • Video Production: Use Sequencer and Movie Render Queue for automated rendering
  • Distribution/Publishing: Create professional-quality art criticism videos

About

Video generation project integrating Claude, ElevenLabs, and Unreal Engine

Resources

Stars

1 star

Watchers

0 watching

Forks

Releases

Packages

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AI-Critic

A modular video generation pipeline that creates art criticism dialogues and voice narration using Claude and ElevenLabs, designed to work with Unreal Engine's Audio Driven Animation for MetaHumans.

Features

  • 🎨 AI Art Analysis: Generate sophisticated art criticism dialogue using Claude
  • 🎙️ Voice Generation: Convert dialogue to high-quality MP3 speech using ElevenLabs
  • 🎭 Unreal Integration: Designed to work seamlessly with Unreal Engine's Audio Driven Animation for MetaHumans
  • 📁 Workspace Management: Organized file structure for incremental video production
  • 🔧 Modular Pipeline: Run individual steps or the complete workflow
  • 💰 Cost Efficient: Re-run individual steps without burning API credits

Setup

Prerequisites

  1. Node.js Environment

    npm install
  2. Unreal Engine (for MetaHuman animation using Audio Driven Animation)

    • Download from Epic Games Launcher
    • Import MetaHuman characters from MetaHuman Creator
    • Enable Audio Driven Animation plugin
  3. API Keys

    # Required for script generationexport ANTHROPIC_API_KEY='your-anthropic-api-key'# Required for voice generationexport ELEVENLABS_API_KEY='your-elevenlabs-api-key'
  4. Python Environment (for Unreal Engine automation)

    # One-time setup
    ./setup_python.sh
    # For each sessionsource venv/bin/activate

Project Structure

src/
├── js/ # JavaScript pipeline (Text → Voice)
│ ├── generateFullPipeline.js # Main pipeline orchestrator (script + voice)
│ ├── generateScriptText.js # Claude API integration (text generation only)
│ ├── voiceGeneration.js # ElevenLabs API integration (speech synthesis)
│ ├── parseScript.js # Script parsing utilities
│ └── workspaceUtils.js # Workspace management utilities
└── python/ # Python scripts (Unreal automation)
└── requirements.txt # Python dependencies
workspace/ # Auto-generated workspaces (git-ignored)
└── artwork_name_timestamp/
├── script.txt # Raw generated script
├── dialogue.json # Parsed dialogue lines
└── audio/ # Generated voice files (MP3 format)
├── 01_elena.mp3 # Elena's first line
├── 02_marcus.mp3 # Marcus's first line
└── ... # Alternating dialogue

Usage

Full Pipeline (Recommended)

Generate both script and voice files in one command:

node src/js/generateFullPipeline.js "sample/sample_image.png""Electric Dreams""AI"

Output:

  • Creates timestamped workspace folder
  • Generates script with Claude API
  • Parses dialogue into structured format
  • Creates voice files with ElevenLabs API
  • Organizes all files for video production

Individual Steps

1. Script Generation Only

Generate script and dialogue files without voice synthesis:

node src/js/generateScriptText.js "sample/sample_image.png""Electric Dreams""AI"

Use when:

  • Testing different prompts/artwork
  • Iterating on script content
  • Saving ElevenLabs API costs

2. Voice Generation Only

Generate voice files from existing dialogue:

node src/js/voiceGeneration.js "workspace/electric_dreams_2025-08-09T00-42-24"

Use when:

  • Re-generating with different voices
  • Fixing audio quality issues
  • Testing different voice settings
  • Saving Claude API costs

Example Workflow

# 1. Generate script first (uses Claude API)
node src/js/generateScriptText.js "my-artwork.jpg""Starry Night""Van Gogh"# 2. Iterate on voice generation (uses ElevenLabs API)
node src/js/voiceGeneration.js "workspace/starry_night_2025-08-09T12-00-00"# 3. Re-run voice with adjustments if needed
node src/js/voiceGeneration.js "workspace/starry_night_2025-08-09T12-00-00"

Audio Quality

The voice generation system creates high-quality MP3 files optimized for Unreal Engine's Audio Driven Animation:

High-Quality MP3 Files

  • Generated directly from ElevenLabs API in high-quality format
  • Professional audio quality suitable for video production
  • Compatible with Unreal Engine's Audio Driven Animation system
  • Optimized for MetaHuman facial animation processing

Benefits

  • Cost Efficient: Single API call per dialogue line
  • Quality Preservation: Direct high-quality output from ElevenLabs
  • Unreal Integration: Format compatible with Audio Driven Animation
  • Simplified Workflow: No additional transcoding required

Voice Characters

The system uses two distinct art critics:

  • Elena (CRITIC A): Academic, formal voice - focuses on art history and technique
  • Marcus (CRITIC B): Contemporary, conversational voice - focuses on cultural relevance

File Outputs

Each generation creates a workspace with:

workspace/artwork_name_timestamp/
├── script.txt # Full dialogue script
├── dialogue.json # Structured dialogue data
└── audio/ # Generated voice files (MP3 format)
├── 01_elena.mp3 # Elena's first line
├── 02_marcus.mp3 # Marcus's first line
└── ... # Alternating dialogue

Error Handling

  • Missing API Keys: Scripts check for required environment variables
  • Invalid Workspaces: Voice generation validates workspace structure
  • Partial Failures: Individual voice line failures don't stop the process
  • File Conflicts: Timestamped folders prevent overwrites

Cost Optimization

  • Script-only runs: Test content without voice generation costs
  • Voice-only runs: Iterate on audio without re-generating scripts
  • Workspace reuse: Point voice generation at any existing folder
  • Batch processing: Generate multiple artworks efficiently
  • Single format output: Streamlined workflow reduces complexity and costs

Unreal Engine Audio Driven Animation

The generated MP3 files are designed to work with Unreal Engine's new Audio Driven Animation feature for MetaHumans:

Setup in Unreal Engine

  1. Enable Audio Driven Animation Plugin

    • In Unreal Engine, go to Edit → Plugins
    • Search for "Audio Driven Animation"
    • Enable the plugin and restart the engine
  2. Import MetaHuman Character

    • Use MetaHuman Creator to design your characters
    • Import the characters into your Unreal project
    • Ensure the MetaHuman has proper facial rig setup
  3. Configure Audio Driven Animation

    • Add Audio Driven Animation component to your MetaHuman
    • Configure the audio analysis settings
    • Map audio frequencies to facial blendshapes

Workflow

# 1. Generate script and voice files
node src/js/generateFullPipeline.js "artwork.jpg""Title""Artist"# 2. Import MP3 files into Unreal Engine# 3. Set up Audio Driven Animation on MetaHuman characters# 4. Configure audio analysis and blendshape mapping# 5. Use Sequencer to create your animated scenes# 6. Render with Movie Render Queue

Next Steps

Generated files are ready for:

  • Unreal Engine: Import MP3 files and configure Audio Driven Animation
  • MetaHuman Setup: Apply audio-driven facial animation to your characters
  • Video Production: Use Sequencer and Movie Render Queue for automated rendering
  • Distribution/Publishing: Create professional-quality art criticism videos

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Video generation project integrating Claude, ElevenLabs, and Unreal Engine

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