ComfyUI-WanKeyframing

A powerful ComfyUI custom node collection for keyframe-based video generation and batch image processing. This extension provides advanced tools for creating smooth video sequences from keyframes with intelligent conditioning and latent space interpolation.

Features

• Batch Image Loading: Load and process multiple images from directories with smart resizing and sorting
• Keyframe Video Generation: Create video sequences from keyframes with smooth transitions
• Multiple Resize Modes: Flexible image resizing with stretch, fit, and crop options
• Advanced Sorting: Sort images by name, date, size, or keep original order
• Multi-Latent Encoding: Generate video-ready latent representations with conditioning
• Prompt Keyframing: Use indexed prompts for different video segments

Installation

Method 1: ComfyUI Manager (Recommended)

1. Install ComfyUI Manager
2. Search for "WanKeyframing" in the manager
3. Click Install

Method 2: Git Clone

cd ComfyUI/custom_nodes/
git clone https://github.com/apenguin24/ComfyUI-WanKeyframing.git

Method 3: Manual Download

1. Download the repository as a ZIP file
2. Extract to ComfyUI/custom_nodes/comfyui-wankeyframing/
3. Restart ComfyUI

Nodes Overview

Load Images From Directory

Efficiently loads and processes multiple images from a directory with advanced options.

Features:

• Smart Resizing: Automatically resize images to consistent dimensions
• Multiple Sort Options: Sort by name, date, size, or preserve order
• Reload Control: Force reload images when needed
• Format Support: PNG, JPG, JPEG, BMP, WEBP, TIF, TIFF

Parameters:

• directory: Input directory path (relative to ComfyUI input folder)
• reload_on_execute: Force reload on each execution
• target_width/height: Target dimensions for all images (8-8192px)
• resize_mode: How to handle different sized images
  • Stretch: Stretch to exact dimensions (may distort)
  • Fit: Fit inside dimensions, pad with black
  • Crop: Crop to fill dimensions, maintain aspect ratio
• sort_mode: Image loading order
  • name_asc/desc: Sort alphabetically by filename
  • date_asc/desc: Sort by file modification date
  • size_asc/desc: Sort by file size
  • none: System order (no sorting)

Wan Keyframe To Video

Advanced keyframe-to-video encoder that creates smooth video sequences with intelligent conditioning.

Features:

• Multi-Segment Processing: Process multiple keyframe pairs simultaneously
• Indexed Prompts: Use different prompts for different video segments
• CLIP Vision Support: Enhanced conditioning with vision embeddings
• Flexible Video Length: Control FPS and duration
• Latent Space Interpolation: Smooth transitions between keyframes

Parameters:

• clip: CLIP model for text encoding
• positive_prompt: Multi-line prompts with keyframe indexing (e.g., [0] prompt1)
• negative_prompt: Negative conditioning text
• vae: VAE model for latent encoding
• width/height: Video dimensions (16-8192px, step 16)
• fps: Frames per second (1-120)
• seconds: Video duration (1-60 seconds)
• keyframes: Input keyframe images (optional)
• clip_vision_outputs: CLIP vision embeddings (optional)

🔧 Usage Examples

Basic Keyframe Video Workflow

1. Load Keyframes: Use "Load Images From Directory" to load your keyframe sequence

   • Set appropriate target dimensions
   • Use "name_asc" sorting for numbered sequences

2. Generate Video: Connect to "Wan Keyframe To Video"

   • Set desired video parameters (FPS, duration, dimensions)
   • Use indexed prompts for segment-specific conditioning:

     [0] A serene mountain landscape at dawn
     [1] The same landscape in golden hour
     [2] A starlit night scene
     

3. Process: The node will create smooth transitions between keyframes

Advanced Prompt Keyframing

Use indexed prompts to control different segments of your video:

[0] A peaceful garden in spring, soft lighting
[1] The garden in summer, vibrant colors, bright sun
[2] Autumn garden with falling leaves, warm tones
[3] Winter garden covered in snow, cold blue lighting

Each [N] corresponds to the keyframe at index N, creating segment-specific conditioning.

Technical Details

Resize Modes Explained

• Stretch: Direct resize to target dimensions. Fast but may distort aspect ratio.
• Fit: Maintains aspect ratio, adds padding. Good for preserving image content.
• Crop: Maintains aspect ratio, crops excess. Good for filling frame completely.

Video Generation Process

1. Keyframe Processing: Each consecutive pair of keyframes creates a video segment
2. Prompt Mapping: Indexed prompts are matched to keyframe segments
3. Latent Encoding: Images are encoded to latent space with VAE
4. Conditioning: CLIP embeddings are generated for each segment
5. Stacking: All segments are combined into a single batch for processing

Performance Tips

• Use consistent image sizes when possible to reduce processing overhead
• Moderate video lengths (1-5 seconds) work best for memory efficiency
• Consider using lower resolution for testing, then upscale final results

Troubleshooting

Images won't load:

• Check that the directory path is relative to ComfyUI's input folder
• Ensure images are in supported formats
• Verify file permissions

Memory errors:

• Reduce video length or resolution
• Use fewer keyframes
• Close other applications to free RAM

Inconsistent results:

• Enable "reload_on_execute" if images change frequently
• Check that keyframe count matches your prompt indexing
• Ensure all keyframes have similar content/style

Contributing

Contributions are welcome! Please feel free to submit pull requests or open issues for bugs and feature requests.