Sage_CubiqImageResize

Advanced Image Resize

An advanced image resizing node based on ComfyUI-Essentials functionality. Provides high-quality image resizing with multiple interpolation methods and precise dimension control.

Inputs

Required

image (IMAGE): The input image to resize
width (INT): Target width in pixels (default: 1024, range: 0 to MAX_RESOLUTION)
height (INT): Target height in pixels (default: 1024, range: 0 to MAX_RESOLUTION)
interpolation (COMBO): Interpolation method - "nearest", "bilinear", "bicubic", "area", "nearest-exact", "lanczos", "bislerp"
method (COMBO): Resize method - "stretch", "keep proportion", "fill / crop", "pad"
condition (COMBO): When to resize - "always", "downscale if bigger", "upscale if smaller", "if bigger area", "if smaller area"
multiple_of (INT): Ensure dimensions are multiples of this value (default: 0, range: 0-1024)

Outputs

IMAGE (IMAGE): The resized image
width (INT): Actual output width
height (INT): Actual output height

Resize Methods

stretch: Stretch image to exact dimensions (may distort aspect ratio)
keep proportion: Maintain aspect ratio, fit within target dimensions
fill / crop: Fill target dimensions, crop excess while maintaining aspect ratio
pad: Fit within dimensions and pad with black borders if needed

Interpolation Options

nearest: Fastest, pixelated results for pixel art
bilinear: Good balance of speed and quality
bicubic: Higher quality, smoother results
area: Best for downscaling operations
nearest-exact: Precise nearest neighbor
lanczos: Highest quality, best for upscaling
bislerp: ComfyUI's optimized bicubic interpolation

Condition Options

always: Always resize regardless of current size
downscale if bigger: Only resize if image is larger than target
upscale if smaller: Only resize if image is smaller than target
if bigger area: Resize if total pixel area is larger
if smaller area: Resize if total pixel area is smaller

Usage

This node is ideal for:

Resizing images for specific model requirements
Preparing images for different processing stages
Maintaining or adjusting aspect ratios
Batch processing images to consistent dimensions

Notes

Based on the proven ComfyUI-Essentials resize implementation (MIT license)
Original author: cubiq (Matteo Spinelli)
The multiple_of parameter ensures compatibility with models requiring specific dimension alignment
Conditional resizing prevents unnecessary processing
Supports both upscaling and downscaling with appropriate quality settings
Output dimensions are clamped to valid ranges and multiples as specified

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