Wan2.2 Animate GGUF - Video Animation Workflow
Overview
This ComfyUI workflow enables high-quality video animation and character motion transfer using the Wan2.2-Animate-14B model in GGUF format. It's specifically designed for creating animated videos from reference images and motion source videos.
Key Features
🚀 GGUF Model Optimization
Uses GGUF format for efficient memory usage and faster loading
Compatible with various hardware configurations
Includes separate GGUF loaders for model, CLIP, and VAE components
🎭 Dual Operation Modes
Character Replacement Mode: Replace characters in existing videos while preserving background
Motion Transfer Mode: Apply character poses to new scenes and environments
🛠️ Advanced Preprocessing
Interactive point-based segmentation using SAM2
Automatic pose detection with DWPreprocessor
Facial feature extraction for better character preservation
Smart video scaling and frame management
Workflow Structure
Step 1: Model Loading
Loads Wan2.2-Animate-14B GGUF model
Configures CLIP text encoder and VAE decoder
Applies optional LoRA enhancements for improved results
Step 2: Input Setup
Reference image upload for character appearance
Source video for motion capture
Positive/Negative prompt configuration
Step 3: Video Preprocessing
Extracts frames, audio, and FPS from source video
Resizes video to optimal dimensions (must be multiples of 16)
Generates pose and facial reference data
Step 4: Character Masking
Interactive Points Editor for precise character selection
SAM2 segmentation with positive/negative point guidance
Mask refinement with GrowMask and BlockifyMask nodes
Step 5: Animation Generation
Dual KSampler setup for flexible video generation
WanAnimateToVideo nodes handle core animation logic
Support for video length extension through batch processing
Step 6: Video Output
Recombines generated frames with original audio
Maintains original FPS for seamless playback
Multiple output options with SaveVideo nodes
Technical Requirements
Hardware
Compatible with various GPU/CPU configurations thanks to GGUF format
Lower VRAM requirements compared to standard model formats
Recommended: 8GB+ RAM for optimal performance
Software
ComfyUI with required custom nodes:
ComfyUI-segment-anything-2 (SAM2)
comfyui-controlnet-aux (preprocessors)
comfyui-kjnodes (utility nodes)
GGUF loader nodes
Usage Instructions
Load Models: Ensure all GGUF model files are in correct directories
Set Dimensions: Configure width/height as multiples of 16 (e.g., 640x640)
Input Media: Upload reference image and source video
Mask Creation: Use Points Editor to mark character areas (Shift+click for positive points)
Configure Prompts: Set positive and negative text prompts
Execute: Run the workflow and monitor progress through preview nodes
Ideal For
Character animation from still images
Motion transfer between videos
Video style transfer with character preservation
Content creation for short films and social media
This workflow represents a sophisticated pipeline for video animation that balances quality with computational efficiency through the use of GGUF model format.