ComfyUI Node: Get Image Size ♾️Mixlab

Get Image Size ♾️Mixlab:

The GetImageSize_ node is designed to extract the dimensions of an image, providing you with the width and height in pixels. This node is particularly useful when you need to programmatically determine the size of an image for further processing or validation. Additionally, it offers an optional parameter to ensure that the image meets a minimum width requirement, resizing the image if necessary. This functionality is beneficial for maintaining consistency in image dimensions, especially when working with a series of images that need to adhere to specific size constraints.

Get Image Size ♾️Mixlab Input Parameters:

image

The image parameter is a required input that accepts an image tensor. This tensor represents the image from which the node will extract the dimensions. The image should be in a format compatible with the node's processing capabilities.

min_width

The min_width parameter is an optional integer input that specifies the minimum width the image should have. If the image's width is less than this value, the node will resize the image to meet the minimum width requirement. The default value is 512, with a minimum value of 1 and a maximum value of 2048. This parameter helps ensure that all images processed meet a certain width standard, which can be crucial for tasks requiring uniform image sizes.

Get Image Size ♾️Mixlab Output Parameters:

width

The width output parameter provides the width of the input image in pixels. This value is extracted directly from the image tensor and represents the horizontal dimension of the image.

height

The height output parameter provides the height of the input image in pixels. This value is extracted directly from the image tensor and represents the vertical dimension of the image.

min_width

The min_width output parameter returns the minimum width value that was either specified by the user or the default value. This output confirms the minimum width constraint applied during the node's execution.

min_height

The min_height output parameter is not explicitly described in the context but can be inferred to provide the minimum height of the image if a similar constraint is applied. This ensures that the image meets both width and height requirements if applicable.

Get Image Size ♾️Mixlab Usage Tips:

• Ensure that the input image tensor is in the correct format to avoid processing errors.
• Utilize the min_width parameter to maintain a consistent width across multiple images, which is particularly useful for batch processing or creating uniform datasets.
• Check the output dimensions to verify that the image meets your size requirements before proceeding with further image processing tasks.

Get Image Size ♾️Mixlab Common Errors and Solutions:

"Invalid image tensor format"

• Explanation: The input image tensor is not in a compatible format for the node to process.
• Solution: Verify that the image tensor is correctly formatted and compatible with the node's requirements. Ensure that the tensor dimensions and data types are appropriate.

"Image width less than minimum width"

• Explanation: The width of the input image is less than the specified min_width parameter.
• Solution: The node will automatically resize the image to meet the minimum width requirement. Ensure that the min_width parameter is set correctly to avoid unnecessary resizing.

"Image tensor shape mismatch"

• Explanation: The shape of the input image tensor does not match the expected dimensions.
• Solution: Check the shape of the input image tensor and ensure it matches the expected format (e.g., height, width, channels). Adjust the tensor dimensions if necessary.