ComfyUI > Nodes > ComfyUI-DSD > DSD Resize Selector

ComfyUI Node: DSD Resize Selector

Class Name

DSDResizeSelector

Category
DSD
Author
irreveloper (Account age: 4039days)
Extension
ComfyUI-DSD
Latest Updated
2025-03-15
Github Stars
0.04K

How to Install ComfyUI-DSD

Install this extension via the ComfyUI Manager by searching for ComfyUI-DSD
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-DSD in the search bar
After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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DSD Resize Selector Description

Flexible image resizing with various methods, interpolation, padding colors, and quality maintenance for DSD Image Generator.

DSD Resize Selector:

The DSDResizeSelector node is designed to provide flexible and efficient image resizing options for the DSD Image Generator. This node allows you to select from various resizing methods and interpolation techniques to tailor the image processing to your specific needs. By offering options such as resizing, cropping, padding, and fitting, it ensures that images are adjusted to the desired dimensions while maintaining quality and composition. The node also allows you to specify padding colors, giving you control over the aesthetic outcome of the resized images. This functionality is particularly beneficial for AI artists who need to prepare images for further processing or presentation, ensuring that the images meet specific size and quality requirements.

DSD Resize Selector Input Parameters:

resize_method

The resize_method parameter allows you to choose the method by which the image will be resized. The available options are resize_and_center_crop, center_crop, pad, and fit. Each method offers a different approach to resizing: resize_and_center_crop resizes the image and then crops it to center, center_crop crops the image to the center without resizing, pad adds padding to the image to fit the desired size, and fit resizes the image to fit within the specified dimensions. The default value is resize_and_center_crop, which is useful for maintaining the central focus of an image while adjusting its size.

interpolation

The interpolation parameter determines the technique used to calculate pixel values when resizing the image. Options include LANCZOS, BICUBIC, BILINEAR, and NEAREST. Each method offers a different balance between speed and quality: LANCZOS provides high-quality results, BICUBIC is a good compromise between quality and speed, BILINEAR is faster but may result in lower quality, and NEAREST is the fastest but least accurate. The default is LANCZOS, which is recommended for high-quality image processing.

pad_r

The pad_r parameter specifies the red component of the padding color when the pad method is used. It accepts integer values ranging from 0 to 255, with a default value of 0. This parameter allows you to customize the padding color to match or complement the image's color scheme, ensuring a seamless integration of the padding with the image.

pad_g

The pad_g parameter specifies the green component of the padding color when the pad method is used. It accepts integer values ranging from 0 to 255, with a default value of 0. Like pad_r, this parameter helps you adjust the padding color to achieve the desired visual effect, particularly when the image is displayed against a specific background.

pad_b

The pad_b parameter specifies the blue component of the padding color when the pad method is used. It accepts integer values ranging from 0 to 255, with a default value of 0. This parameter, along with pad_r and pad_g, allows you to define a custom padding color, providing flexibility in how the image is presented and ensuring that the padding does not detract from the image's overall appearance.

DSD Resize Selector Output Parameters:

resize_params

The resize_params output parameter is a JSON object that contains the selected resize options, including the method, interpolation, and padding color. This output is crucial as it encapsulates all the necessary information for the image resizing process, allowing subsequent nodes or processes to apply the specified resizing settings consistently. By providing a structured output, it ensures that the image processing workflow remains organized and efficient.

DSD Resize Selector Usage Tips:

  • When aiming for high-quality image resizing, consider using the LANCZOS interpolation method, as it provides superior results, especially for images with fine details.
  • If you need to maintain the central focus of an image while resizing, the resize_and_center_crop method is ideal, as it ensures that the main subject remains prominent.
  • Use the pad method with custom padding colors (pad_r, pad_g, pad_b) to seamlessly integrate images into backgrounds or layouts that require specific color schemes.

DSD Resize Selector Common Errors and Solutions:

Invalid resize method

  • Explanation: This error occurs when an unsupported value is provided for the resize_method parameter.
  • Solution: Ensure that the resize_method is set to one of the supported options: resize_and_center_crop, center_crop, pad, or fit.

Invalid interpolation method

  • Explanation: This error arises when an unsupported value is provided for the interpolation parameter.
  • Solution: Verify that the interpolation is set to one of the valid options: LANCZOS, BICUBIC, BILINEAR, or NEAREST.

Padding color out of range

  • Explanation: This error occurs when the values for pad_r, pad_g, or pad_b are outside the allowed range of 0 to 255.
  • Solution: Check that the padding color values are within the specified range and adjust them accordingly.

DSD Resize Selector Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI-DSD
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