ComfyUI_YC_VideoCutHelper

A simple ComfyUI plugin that Its purpose and function is to replicate some of the editing effects of capcut,jianying and pr.

📦 Installation

Clone this repository into your ComfyUI custom nodes directory:

cd ComfyUI/custom_nodes
git clone https://github.com/your-username/ComfyUI_SwiftCut.git

Install required dependencies:

pip install torch numpy pillow

Restart ComfyUI

https://github.com/user-attachments/assets/d353c911-2364-4d81-b6d8-7a28b06c8ce4

🛠️ Available Nodes

Image Processing Nodes

🎬 ImagePushPullLens

Category: SwiftCut/Image

Creates cinematic push-pull lens effects (dolly zoom) from single or multiple images.

Features:

Single to Multi Mode: Generate multiple frames from a single image

Multi to Multi Mode: Apply different crop ratios to existing frame sequences

Three-stage Animation: Customizable start, middle, and end crop ratios

Center-based Cropping: Maintains subject focus during zoom effects

Inputs:

image: Input image(s)

frames: Number of output frames (2-120)

start_crop_ratio: Initial crop ratio (0.1-1.0)

middle_crop_ratio: Middle point crop ratio (0.1-1.0)

end_crop_ratio: Final crop ratio (0.1-1.0)

middle_frame: Frame where middle ratio is reached

input_mode: Processing mode selection

Outputs:

frames: Processed image sequence

masks: Corresponding crop masks

🎨 ImageOverlayBlend

Category: SwiftCut/Image

Advanced multi-frame blending with background overlay and transparency control.

Features:

Dynamic Alpha Control: Three-stage transparency animation

Multiple Blend Modes: Normal, Multiply, Screen, Overlay, Soft Light

Custom Background: Hex color background support

Professional Color Mixing: Industry-standard blend algorithms

Inputs:

frames: Input frame sequence

background_color: Hex color (e.g., “#000000”)

start_alpha_ratio: Initial transparency (0.0-1.0)

middle_alpha_ratio: Middle transparency (0.0-1.0)

end_alpha_ratio: Final transparency (0.0-1.0)

middle_frame: Transition point frame

blend_mode: Blending algorithm selection

Outputs:

blended_frames: Processed frame sequence

alpha_masks: Transparency masks

🔀 ImageBatchBlend

Category: SwiftCut/Image

High-performance batch image blending for complex compositions.

Features:

Automatic Channel Matching: RGB/RGBA/Grayscale compatibility

Frame Synchronization: Automatic length matching

Professional Blend Modes: 7 industry-standard modes

Batch Processing: Optimized for large sequences

Inputs:

image1: First image batch

image2: Second image batch

blend_factor: Blend strength (0.0-1.0)

blend_mode: Blending algorithm

Outputs:

blended_images: Final composited sequence

Utility Nodes

📋 SelectImages

Category: SwiftCut/Utils

Precise image selection from batches with advanced indexing.

Features:

Flexible Indexing: Single, range, and step selections

Negative Indexing: Reverse selection support

Error Handling: Configurable bounds checking

📋 SelectImagesAdvanced

Category: SwiftCut/Utils

Extended selection capabilities with complex pattern support.

Features:

Complex Patterns: Mixed index formats

Batch Processing: Multiple selection operations

Safety Controls: Comprehensive error handling

If you benefit from this project, please buy the author a cup of coffee.