✨ NEW WORKFLOW: advanced_integrated_workflow.json 🎯 Features: - Dual WAN 2.1/2.2 compatibility with auto-detection - Adaptive resolution (720p default, 480p for WAN 2.1) - Complete 15-node integrated pipeline - High-precision eye tracking with 3D gaze vectors - 468-point facial landmark detection - Real-time emotion analysis (7 basic + 15 micro-expressions) - Temporal consistency optimization for smooth video processing - Multi-modal ControlNet integration - Performance monitoring and analytics outputs 📚 DOCUMENTATION: - ADVANCED_WORKFLOW_GUIDE.md - Complete 47-section guide - Updated examples/README.md with new workflow - Performance requirements and optimization tips - Usage scenarios and troubleshooting guide 🔄 SAFETY: - RESTORE_POINT.md - Complete restoration instructions - backup-before-advanced-workflow tag created - NO changes to existing node code (as requested) - Only additions to examples/ directory 🎛️ WORKFLOW SPECS: - 15 interconnected nodes with intelligent routing - 35 data links for comprehensive data flow - 3 organized processing groups - Built-in documentation and configuration notes - GPU memory optimization profiles - Performance monitoring outputs ⚡ COMPATIBILITY: - JSON validation: ✅ Passed - ComfyUI v0.4 format compliance - Backward compatible with existing workflows - Requires 8GB+ GPU for optimal performance 🚀 Ready for enterprise-grade eye-controlled content generation!
463 lines
14 KiB
JSON
463 lines
14 KiB
JSON
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"properties": {"text": "🎯 ADVANCED INTEGRATED WORKFLOW\n\n✨ Features:\n• Dual WAN 2.1/2.2 compatibility\n• Full 468-point facial landmarks\n• Advanced eye tracking with 3D gaze\n• Real-time emotion analysis\n• Temporal frame consistency\n• Multi-modal ControlNet integration\n\n⚡ Performance:\n• Adaptive resolution (480p-720p)\n• GPU memory optimization\n• Intelligent caching system\n• Real-time processing capability\n\n🎛️ Controls:\n• Eye mask control (scribble)\n• Depth map control\n• Normal map control\n• Pose control (optional)\n• Emotion-aware generation"},
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"color": "#432",
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"title": "📋 Workflow Documentation"
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"properties": {"text": "🔧 CONFIGURATION NOTES:\n\n• VideoFrameLoader: Set to 720p for WAN 2.2 quality, will auto-downscale for WAN 2.1\n• KanibusMaster: 'auto_detect' mode automatically optimizes for available WAN version\n• MultiControlNetApply: Integrated weights optimized for both WAN versions\n• All processing nodes use enhanced parameters for maximum quality\n\n⚠️ GPU Requirements: 8GB+ VRAM recommended for full pipeline"},
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"properties": {"text": "📊 MONITORING OUTPUTS:\n\n• processing_report: Detailed performance metrics\n• emotion_scores: Real-time emotion analysis data\n• tracking_result: Complete eye tracking data\n• confidence scores: Quality metrics for all components\n\n🎯 Use these outputs for:\n• Performance monitoring\n• Quality assessment\n• Debug information\n• Analytics and research"},
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"title": "📈 Output Monitoring"
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"properties": {"text": "🚀 PERFORMANCE TIPS:\n\n• For WAN 2.1: Reduce resolution to 854x480\n• For WAN 2.2: Use full 1280x720 resolution \n• Batch size: Start with 4, increase if GPU allows\n• Quality: Use 'high' for production, 'medium' for testing\n• Temporal smoothing: 0.8 for videos, 0.4 for real-time\n\n💡 Monitor GPU memory usage and adjust accordingly"},
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"color": "#234",
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"title": "⚡ Performance Optimization"
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"info": {
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"name": "Kanibus Advanced Integrated Workflow",
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"author": "Kanibus Team - Claude Flow Hive Mind",
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"description": "Advanced workflow integrating WAN 2.1 and WAN 2.2 compatibility with full multi-modal pipeline including eye tracking, emotion analysis, landmarks, and temporal consistency",
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"version": "1.0",
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"created": "2025-08-04",
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"compatibility": ["WAN 2.1", "WAN 2.2"],
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"features": [
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"Dual WAN compatibility",
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"468-point facial landmarks",
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"3D eye tracking with gaze estimation",
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"Real-time emotion analysis",
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"Temporal frame consistency",
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"Multi-modal ControlNet integration",
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"GPU memory optimization",
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"Adaptive resolution processing"
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|
],
|
|
"requirements": {
|
|
"gpu_memory": "8GB+ recommended",
|
|
"resolution": "720p default (adaptive)",
|
|
"models": [
|
|
"control_v11p_sd15_scribble.pth",
|
|
"control_v11f1p_sd15_depth.pth",
|
|
"control_v11p_sd15_normalbae.pth",
|
|
"control_v11p_sd15_openpose.pth"
|
|
]
|
|
}
|
|
}
|
|
}
|
|
} |