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RescaleImage

What is it?

The RescaleImage node allows you to resize images with precise control over dimensions, scaling methods, and quality. It supports both pixel-based and percentage-based scaling, making it perfect for preparing images for specific output requirements or creating different sizes from a single source.

When would I use it?

Use this node when you want to:

  • Resize images to specific dimensions
  • Scale images by percentage
  • Prepare images for different output formats
  • Create thumbnails or preview images
  • Optimize images for web or print
  • Batch resize multiple images
  • Maintain aspect ratios while scaling

How to use it

Basic Setup

  1. Add the RescaleImage node to your workflow
  2. Connect an image source to the "input_image" input
  3. Choose your resize mode and set the target size
  4. The resized image will be available at the "output" parameter

Parameters

Resize Settings

  • resize_mode: The method for determining the new size

    • percentage: Scale by percentage (e.g., 50% = half size)
    • pixels: Set exact pixel dimensions

  • target_size (pixels, default: 512): Target size when using pixel mode

    • For width-based scaling: sets the width, height scales proportionally
    • For height-based scaling: sets the height, width scales proportionally

  • percentage_scale (1-1000, default: 100): Scale percentage when using percentage mode

    • 50 = half size
    • 100 = original size
    • 200 = double size

Quality Settings

  • resample_filter: The algorithm used for resampling
    • lanczos: High quality, slower (recommended for most cases)
    • bicubic: Good quality, medium speed
    • bilinear: Lower quality, faster
    • nearest: Pixelated, fastest

Outputs

  • output: The resized image

Example

A typical rescaling workflow:

  1. Load an image using LoadImage
  2. Connect that image to the RescaleImage node's "input_image" parameter
  3. Set the resize settings:
    • Select "percentage" resize_mode
    • Set percentage_scale to 50 to create a half-size version
    • Select "lanczos" resample_filter for high quality
  4. Connect the "output" to DisplayImage to view the result

Important Notes

  • Live Preview: Changes are applied in real-time as you adjust parameters
  • Aspect Ratio: The node maintains the original aspect ratio
  • High Quality: Lanczos resampling provides the best quality for most use cases
  • RGBA Support: The node preserves transparency in RGBA images

Common Issues

  • Image Too Small: Increase the percentage_scale or target_size
  • Poor Quality: Use "lanczos" resample_filter for better quality
  • Wrong Dimensions: Check that your resize_mode and target settings are correct

Technical Details

The node uses PIL's resampling algorithms:

  • Lanczos: Uses Lanczos kernel for high-quality resampling
  • Bicubic: Uses bicubic interpolation for good quality
  • Bilinear: Uses bilinear interpolation for faster processing
  • Nearest: Uses nearest neighbor for pixelated results

This provides professional-quality image resizing capabilities suitable for any workflow.