ComfyUI Node: ⭐ Star Divisible Dimension

⭐ Star Divisible Dimension:

The StarDivisibleDimension node is designed to help you adjust image dimensions to be divisible by a specified number, ensuring compatibility with various processing requirements in digital art and AI applications. This node is particularly useful when working with neural networks or image processing tools that require input dimensions to be multiples of a certain value. By automatically rounding the width and height of an image to the nearest multiple of your chosen divisor, this node simplifies the preparation of images for further processing, reducing the risk of errors and ensuring optimal performance. Its primary function, adjust_dimensions, efficiently recalculates dimensions, making it an essential tool for artists and developers who need to maintain specific aspect ratios or meet technical constraints without manually adjusting each image.

⭐ Star Divisible Dimension Input Parameters:

width

The width parameter specifies the initial width of the image you wish to adjust. It plays a crucial role in determining the final width after adjustment, as the node will round this value to the nearest multiple of the divisible_by parameter. The width can range from a minimum of 64 to a maximum of 8192, with a default value of 512. This flexibility allows you to work with a wide variety of image sizes, ensuring that your images are prepared correctly for any subsequent processing steps.

height

The height parameter defines the initial height of the image you want to adjust. Similar to the width, this parameter is essential for calculating the final height, as it will be rounded to the nearest multiple of the divisible_by parameter. The height can also range from 64 to 8192, with a default value of 512. This parameter ensures that your images maintain the desired aspect ratio and are compatible with the technical requirements of your project.

divisible_by

The divisible_by parameter determines the multiple to which both the width and height will be rounded. This parameter is crucial for ensuring that the adjusted dimensions meet specific technical requirements, such as those imposed by certain neural networks or image processing tools. The divisible_by value can range from 1 to 64, with a default of 8, providing you with the flexibility to tailor the adjustments to your specific needs.

⭐ Star Divisible Dimension Output Parameters:

width

The width output parameter represents the adjusted width of the image after processing. This value is the result of rounding the initial width to the nearest multiple of the divisible_by parameter. The adjusted width ensures that the image is compatible with any technical constraints that require specific dimension multiples, facilitating seamless integration into your workflow.

height

The height output parameter is the adjusted height of the image following processing. Like the width, this value is calculated by rounding the initial height to the nearest multiple of the divisible_by parameter. The adjusted height guarantees that your image maintains the necessary aspect ratio and meets any technical requirements, making it ready for further processing or analysis.

⭐ Star Divisible Dimension Usage Tips:

• Ensure that the divisible_by parameter is set according to the requirements of your specific application or tool to avoid compatibility issues.
• Use the default values for width and height if you are unsure of the initial dimensions, as they provide a good starting point for most applications.

⭐ Star Divisible Dimension Common Errors and Solutions:

Dimension Out of Range

• Explanation: This error occurs when the width or height values are set outside the allowed range of 64 to 8192. - Solution: Adjust the width and height parameters to fall within the specified range to ensure proper functionality.

Invalid Divisible By Value

• Explanation: This error arises when the divisible_by parameter is set to a value outside the range of 1 to 64.
• Solution: Set the divisible_by parameter to a valid value within the specified range to ensure the dimensions are adjusted correctly.