Updated: Sep 22, 2025
base model
This comprehensive workflow showcases the latest Wan2.2-Animate 14B model, a groundbreaking unified model for character animation and replacement with holistic movement and expression replication . This workflow represents the cutting edge of AI video generation, combining pose-guided animation, face replacement, and audio-driven generation in a single, professional-grade workflow.
Credits
**Workflow Developer:** Jukka Seppänen (kijai)
GitHub: https://github.com/kijai
Creator of ComfyUI-WanVideoWrapper and numerous essential ComfyUI extensions [3][4][5]
**Video Content:** Riku Sutinen
Instagram: https://www.instagram.com/sutinen.riku/
Professional content creator providing demonstration footage
What is Wan2.2-Animate 14B?
The Wan2.2-Animate 14B model represents the latest advancement in AI video generation technology, specifically designed for character animation and replacement [1]. Unlike previous models, this unified architecture can handle both movement replication and facial expression replacement simultaneously, making it ideal for creating realistic character animations with unprecedented quality and control [1].
Core Workflow Components
Model Architecture
The workflow utilizes the complete Wan2.2-Animate ecosystem:
- **Primary Model**: `Wan2.2-Animate-14B-fp8-e4m3fn-scaled-KJ.safetensors` [3]
- **Text Encoder**: `umt5-xxl-enc-bf16.safetensors` for advanced prompt understanding [6]
- **VAE**: `Wan2.1-VAE-bf16.safetensors` for optimal encoding/decoding [6]
- **LoRA Support**: `WanVideo-relight-lora-fp16.safetensors` for lighting control [3]
Advanced Input Processing
Reference Image System*
The workflow features a sophisticated reference image processing pipeline that extracts character features and maintains consistency across the entire animation sequence [3]. The `ImageResizeKJv2` node ensures proper aspect ratio handling while preserving character integrity.
Pose Control Integration
Using the DWPose preprocessor, the workflow extracts detailed pose keypoints from input videos, enabling precise control over character movement [3]. The `FaceMaskFromPoseKeypoints` node generates accurate facial regions for targeted animation control.
Audio Synchronization
The workflow includes comprehensive audio processing capabilities through the `VHSLoadVideo` node, allowing for perfect lip-sync and audio-drien animation
Professional Quality Feature
Background Masking & Compositing
The workflow employs advanced masking techniques using SAM2 (Segment Anything 2) for precise background separation [3]. The `Sam2Segmentation` and `BlockifyMask` nodes ensure clean compositing with professional-grade edge handling.
Multi-Resolution Support
The workflow dynamically handles various resolutions with dedicated width/height management nodes, ensuring optimal quality regardless of input dimensions [3]. The `INTConstant` nodes provide flexible resolution control (832x480 default).
Context Window Management
Advanced context options enable extended video generation beyond standard frame limits through the `WanVideoContextOptions` node, supporting up to 81-frame windows with temporal consistency [3].
Technical Specifications
Hardware Requirements
- **GPU**: RTX 4090 or equivalent (24GB VRAM recommended)
- **Model Size**: 14B parameters with FP8 optimization
- **Memory Optimization**: Utilizes scaled FP8 quantization for efficiency [1][7]
Model Performance
- **Resolution**: Up to 832x480 native support
- **Frame Rate**: 16 FPS output with smooth temporal consistency
- **Animation Length**: Configurable from short clips to extended sequences
- **Processing Speed**: Optimized for consumer hardware with professional results
Workflow Structure & Organization
Modular Design
The workflow is organized into five main sections [3]:
1. **Reference Image Processing**: Character extraction and preparation
2. **Face Image Generation**: Facial feature processing and mask creation
3. **Background Masking**: Scene separation and compositing preparation
4. **Model Configuration**: Core AI model setup and parameter tuning
5. **Result Generation**: Final video compilation and output
Node Architecture
The workflow utilizes advanced node management with `GetNode` and `SetNode` architecture for clean organization and parameter passing [3]. This modular approach enables easy customization and troubleshooting while maintaining workflow inegrity.
Advanced Features
Pose-Guided Animation
The DWPose integration provides professional-grade pose detection and control, enabling natural character movement that follows the reference video while maintaining the target character's appearance [3].
Expression Replication
The Wan2.2-Animate model excels at replicating both gross motor movements and subtle facial expressions, creating believable character animations that maintain emotional authenticity [1].
Lighting Control
The integrated LoRA system includes specialized lighting control, allowing for scene-appropriate illumination that matches the target environment while preserving character details [3].
Audio Integration
Full audio pipeline support enables synchronized audio-video generation, perfect for creating talking head videos or music-synchronized animations [3].
Installation & Setup
Required Extensions
- **ComfyUI-WanVideoWrapper**: Primary integration for Wan2.2 models [4]
- **ComfyUI-KJNodes**: Essential utility nodes for workflow functionality [5]
- **ComfyUI-segment-anything-2**: Advanced masking capabilities
- **ComfyUI-VideoHelperSuite**: Video processing and output management
Model Downloads
All required models are automatically managed through the workflow, with direct links to HuggingFace repositories for manual installation if needed [1][6].
Professional Applications
This workflow is ideal for:
- Content Creation:
Professional video production with character replacement
- Animation Studios:
Rapid prototyping and pre-visualization
- Social Media:
High-qualitycharacter animations for platforms
- Educational Content:
Engaging video presentations with animated characters
- Entertainment Industry:
Cost-effective character animation for indie productions.
community Impact
This workflow demonstrates the democratization of professional video animation tools, making Hollywood-quality character animation accessible to creators worldwide [1]. The integration with Civitai's platform ensures widespread distribution and collaborative improvement of the workflow [8].
The open-source nature of kijai's work continues to push the boundaries of what's possible in AI video generation, providing the community with cutting-edge tools that were previously available only to major studios [4][5].
Performance Optimization
The FP8 quantization ensures optimal performance on consumer hardware while maintaining professional quality output [7]. The modular architecture allows for selective processing based on available resources, making this workflow accessible across a wide range of hardware configurations.
This represents the pinnacle of current AI video animation technology, combining ease of use with professional-grade results in an accessible ComfyUI workflow.