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Create customizable blank images for AI art projects with specified dimensions and color settings, ideal for placeholders or backgrounds.
The ImageBlank
node is designed to create blank images with customizable dimensions and color settings. This node is particularly useful for generating placeholder images or backgrounds in your AI art projects. By allowing you to specify the width, height, and RGB color values, it provides flexibility in creating images that fit your specific needs. The node can generate multiple images at once, making it efficient for batch processing. Its primary function is to produce images filled with a solid color, which can serve as a base for further artistic manipulation or as a simple visual element in your compositions.
The count
parameter determines the number of blank images to generate. It allows you to specify how many images you need in a single operation, with a minimum value of 1 and a maximum of 99999. The default value is set to 1, meaning that if you do not specify otherwise, the node will create one image. This parameter is useful for batch processing when multiple images are required.
The width
parameter sets the width of each generated image in pixels. It accepts values ranging from 8 to 4096, with a default of 512 pixels. The width is automatically adjusted to be a multiple of 8 to ensure compatibility with certain processing requirements. This parameter allows you to define the horizontal size of your images, which is crucial for fitting them into specific layouts or designs.
The height
parameter defines the height of each generated image in pixels. Similar to the width, it can range from 8 to 4096 pixels, with a default value of 512. The height is also adjusted to be a multiple of 8. This parameter is essential for setting the vertical size of your images, ensuring they meet the dimensions needed for your project.
The red
parameter specifies the intensity of the red color channel in the generated images. It accepts values from 0 to 255, with a default of 255, which represents full intensity. This parameter allows you to control the red component of the image's color, enabling you to create images with varying shades of red.
The green
parameter controls the intensity of the green color channel in the images. Like the red parameter, it ranges from 0 to 255, with a default value of 255. Adjusting this parameter lets you modify the green component of the image's color, providing flexibility in achieving the desired hue.
The blue
parameter sets the intensity of the blue color channel in the images. It also ranges from 0 to 255, with a default of 255. By adjusting this parameter, you can influence the blue component of the image's color, allowing for a wide range of color possibilities.
The output of the ImageBlank
node is a tensor of images, represented as IMAGE
. This output contains the generated blank images with the specified dimensions and color settings. The images are returned as a stack of tensors, which can be easily integrated into further processing or used directly in your projects. The output is crucial for providing the visual elements you need, whether as standalone images or as components in a larger composition.
count
to 1 and adjust the width
, height
, and color parameters to match your desired background size and color.count
parameter to generate multiple images at once, which can be useful for creating a series of placeholders or testing different color combinations quickly.width
and height
are set to multiples of 8 to avoid any unexpected resizing or compatibility issues with other nodes or processes.width
and height
parameters to be multiples of 8 to ensure compatibility.count
parameter exceeds the maximum allowed value of 99999.count
to a value within the allowed range to successfully generate the images.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.