Advanced Wan2.2 Video Generation Workflow with Face Enhancement & Outpainting

🎯 Workflow Overview

This comprehensive ComfyUI workflow leverages the powerful Wan2.2 14B model for high-quality video generation with advanced face processing, outpainting capabilities, and dynamic lighting effects. Perfect for creating cinematic sequences, character animations, and artistic video content with multiple LoRA enhancements.

✨ Key Features

Core Capabilities

• Wan2.2 14B Model Integration - Professional-grade video generation

• Advanced Face Processing - Enhanced facial details and consistency

• Intelligent Outpainting - Seamless frame extension and scene expansion

• Dynamic Lighting System - Realistic lighting effects and atmosphere

• Multi-LoRA Support - 6+ simultaneous LoRA applications for style control

• Memory Optimization - Smart GPU memory management for stable generation

Technical Highlights

• 45 Specialized Nodes - Comprehensive video processing pipeline

• ModelSamplingSD3 - Advanced sampling techniques for quality output

• Video Trimming & Combining - Precise frame control and sequencing

• Real-time Preview - Multiple preview points for workflow monitoring

• Batch Processing Ready - Optimized for multiple video generations

🔧 Technical Requirements

Hardware Recommendations

• GPU: 16GB+ VRAM (24GB+ recommended for 14B model)

• RAM: 32GB+ system RAM

• Storage: 50GB+ free space for models and cache

Required Models & Extensions

• Base Model: Wan2.2 14B (GGUF format)

• VAE: Compatible video VAE

• LoRAs: Various style and enhancement LoRAs

• Extensions: VideoHelperSuite, Advanced KSampler, Easy Utils

🏗️ Workflow Architecture

Input Processing Stage

• Dual Model Loading - Primary and secondary model support

• CLIP Integration - Advanced text encoding capabilities

• VAE Configuration - Optimal encoding/decoding settings

Enhancement Pipeline

• 6-Layer LoRA Stack - Cascading style applications

• Face Enhancement Module - Specialized facial detail processing

• Lighting Correction System - Dynamic illumination adjustments

Generation & Output

• Advanced Sampling - KSamplerAdvanced with custom parameters

• Video Assembly - Frame sequencing and timing control

• Quality Preview - Multi-stage output verification

📋 Node Breakdown

Model Loading (4 nodes)

• LoaderGGUF (×2) - Dual model configuration

• ClipLoaderGGUF - Text encoder loading

• VAELoader - Video VAE initialization

LoRA Enhancement (6 nodes)

• Sequential LoRA application for:

  • Style control

  • Face enhancement

  • Lighting effects

  • Artistic filters

  • Quality boosting

  • Custom aesthetics

Processing Pipeline (12+ nodes)

• ModelSamplingSD3 - Advanced sampling configuration

• TrimVideoLatent - Frame selection and trimming

• ImageResizeKJv2 - Resolution optimization

• KSamplerAdvanced - Generation control

• VHS_VideoCombine - Final video assembly

Optimization Nodes (5 nodes)

• easy cleanGpuUsed - Memory management

• GetMaskSizeAndCount - Processing metrics

• PreviewImage - Quality monitoring

⚙️ Recommended Settings

Generation Parameters

• Steps: 16-20 (balanced quality/speed)

• CFG Scale: 3.5-7.0 (model dependent)

• Sampler: uni_pc or euler_a

• Scheduler: normal or karras

• Denoise: 0.2-0.5 (depending on input)

Video Specifications

• Resolution: 1280×704 or 960×512

• Frame Rate: 16fps (interpolate to 32fps if needed)

• Duration: 81 frames (5+ seconds)

• Format: MP4 with H.264 encoding

LoRA Strength Guidelines

• Primary Style: 0.7-1.0

• Face Enhancement: 0.5-0.8

• Lighting Effects: 0.3-0.6

• Quality Boost: 0.4-0.7

• Artistic Filters: 0.2-0.5

🎨 Usage Instructions

Quick Start

1. Load Workflow - Import the JSON file into ComfyUI

2. Check Models - Ensure all required models are downloaded

3. Input Setup - Configure your initial image/prompt

4. Parameter Tuning - Adjust settings based on your content

5. Generate - Execute workflow and monitor progress

Advanced Configuration

• Face Processing: Enable face enhancement LoRAs for character work

• Outpainting: Adjust mask settings for scene extension

• Lighting: Fine-tune lighting LoRAs for atmospheric effects

• Style Mixing: Experiment with LoRA combinations

💡 Pro Tips

Performance Optimization

• Use easy cleanGpuUsed nodes to prevent memory overflow

• Monitor VRAM usage during generation

• Batch process similar content for efficiency

• Enable model offloading for lower VRAM systems

Quality Enhancement

• Start with lower resolution for testing

• Use preview nodes to check intermediate results

• Experiment with different sampler combinations

• Fine-tune LoRA strengths for optimal balance

Creative Applications

• Character Animation: Perfect for consistent character videos

• Scene Extension: Excellent for expanding limited footage

• Artistic Videos: Ideal for stylized content creation

• Commercial Work: Professional-grade output quality

🔧 Troubleshooting

Common Issues

• Out of Memory: Reduce batch size or enable model offloading

• Slow Generation: Lower steps or resolution temporarily

• Quality Issues: Adjust LoRA strengths and sampling parameters

• Face Inconsistency: Fine-tune face enhancement LoRA settings

Performance Tips

• Clear GPU memory between generations

• Use appropriate scheduler for your hardware

• Monitor system resources during processing

• Optimize workflow order for efficiency

📊 Expected Results

This workflow produces professional-quality videos with:

• Consistent character appearance across frames

• Enhanced facial details and expressions

• Seamless outpainting extensions

• Dynamic lighting and atmospheric effects

• Smooth motion and temporal coherence

Perfect for content creators, artists, and professionals looking to generate high-quality video content with advanced AI techniques.

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Compatibility: ComfyUI with VideoHelperSuite | Tested: Intel Arc XPU & NVIDIA GPUs | Version: Optimized for Wan2.2 14B

Upload your generations and tag me to see your amazing results! Happy creating! 🎬✨