ComfyUI Node: Variable Image Builder

Variable Image Builder:

The Kep_VariableImageBuilder node is designed to facilitate the creation of images with customizable attributes, making it a versatile tool for AI artists who wish to generate images with specific color and size parameters. This node allows you to define the red, green, blue, and alpha (transparency) values for the image, as well as its dimensions and the number of images to be generated in a batch. By providing these options, the node empowers you to create images that meet your precise artistic needs, whether you're experimenting with color palettes or preparing assets for further processing. The primary function of this node is to generate images based on the specified parameters, offering a straightforward yet powerful way to produce visual content tailored to your creative vision.

Variable Image Builder Input Parameters:

r

The r parameter represents the red component of the image's color. It accepts integer values ranging from 0 to 255, where 0 indicates no red and 255 indicates full red intensity. This parameter allows you to control the red hue in the generated image, affecting its overall color balance.

g

The g parameter stands for the green component of the image's color. Similar to the r parameter, it accepts integer values from 0 to 255. Adjusting this parameter will influence the green hue in the image, enabling you to fine-tune the color composition.

b

The b parameter is used to set the blue component of the image's color. It also accepts integer values between 0 and 255. By modifying this parameter, you can control the blue hue, which is crucial for achieving the desired color tone in your image.

a

The a parameter controls the alpha, or transparency, of the image. It accepts integer values from 0 to 255, where 0 is fully transparent and 255 is fully opaque. This parameter is essential for creating images with varying levels of transparency, which can be useful for layering or blending effects.

width

The width parameter specifies the width of the generated image in pixels. It is an integer value with a default of 512 pixels. This parameter allows you to define the horizontal size of the image, which is important for ensuring it fits your intended use or display requirements.

height

The height parameter determines the height of the generated image in pixels. Like the width parameter, it is an integer value with a default of 512 pixels. This parameter sets the vertical size of the image, ensuring it meets your specific dimensional needs.

batch_size

The batch_size parameter indicates the number of images to be generated in a single batch. It is an integer value with a minimum of 1 and a default of 1. This parameter is useful for creating multiple images at once, which can be beneficial for batch processing or generating a series of images with the same attributes.

Variable Image Builder Output Parameters:

Image

The Image output parameter is the result of the image generation process. It returns a tensor representing the generated image(s) based on the specified input parameters. This output is crucial as it provides the visual content that you can use for further artistic manipulation or integration into larger projects.

Variable Image Builder Usage Tips:

• Experiment with different r, g, and b values to explore various color combinations and find the perfect palette for your project.
• Utilize the batch_size parameter to generate multiple images with the same settings, which can save time when creating a series of similar images.

Variable Image Builder Common Errors and Solutions:

Non-matching input sizes got X Image Batches, Y Labels for label type Z

• Explanation: This error occurs when the number of image batches does not match the number of labels provided for a specific label type.
• Solution: Ensure that the number of labels matches the number of image batches, or provide a single label to be applied to all batches.

Only single batch size supported

• Explanation: This error is raised when more than one batch size is provided.
• Solution: Specify a single batch size value to avoid this error.

Must provide either num_images or splits

• Explanation: This error indicates that neither num_images nor splits were provided, which are necessary for determining the number of images to generate.
• Solution: Provide a value for either num_images or splits to proceed with image generation.