ComfyUI-KJNodes: Resize Image Node Introduction

Introduction:

• ComfyUI-KJNodes Repository
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• Author: kijai

Resize Image Node Introduction

The Resize Image node in ComfyUI-KJNodes allows you to change the dimensions of an image within your ComfyUI workflow. This is useful for various tasks such as:

• Preparing images for different models or processing steps that require specific resolutions.
• Creating thumbnails or preview images.
• Adjusting image sizes for visual consistency in your output.

Resize Image Input Introduction

The Resize Image node accepts the following inputs:

• image: The image to be resized. This is a required input.
• width: The desired width of the resized image in pixels.
• height: The desired height of the resized image in pixels.
• resize_mode: The resize mode to use. Options include:
  • nearest: Nearest neighbor interpolation. Fastest, but can result in pixelated images.
  • linear: Bilinear interpolation. Provides a good balance between speed and quality.
  • cubic: Bicubic interpolation. Higher quality than bilinear, but slower.
  • lanczos4: Lanczos resampling. Generally produces the sharpest results, but is the slowest.

Resize Image Output Introduction

The Resize Image node outputs a single image with the specified width and height.

• image: The resized image.

Resize Image Usage Tips

• Experiment with different resize_mode options to find the best balance between speed and quality for your specific use case.
• Consider using the linear resize mode for most general resizing tasks.
• If you need the highest possible quality, use lanczos4, but be aware that it will be slower.
• Use nearest for the fastest resizing, but only if you don't mind pixelated results.
• When resizing images for specific models, make sure to use the correct dimensions that the model expects.