image-resize-to-match — Traditional AI Model
Rescales one image to the exact dimensions of a second — the step that makes pixel-wise work possible, since Image Add and Image Multiply both refuse inputs whose sizes disagree. CPU, instant.
Details
- CategoryTraditional
- Year-1
- License
Inputs & Outputs
- ImageInputimage
Source image to resize
- Reference ImageInputimage
Reference image whose dimensions will be used
- ImageOutputimage
Resized output image matching the reference image dimensions
Parameters
- methodstringdefault Bicubicoptions: Bicubic, Bilinear, Lanczos
Interpolation method
Resampling algorithm. 'Bicubic' (default) gives the best balance for general photographic content. 'Bilinear' is fastest but slightly softer. 'Lanczos' produces the sharpest result but can introduce ringing on hard edges — best for upscaling, riskier for downscaling.
Tags
Alternatives in Image Resizing
- Image Conditional Resize
Auto-resize image to the next standard resolution tier.
- Image Resize
Resize image to a specific width/height.