ComfyUI Node: ImageContainer

ImageContainer:

The ImageContainer node is designed to create a customizable image container with specified dimensions and color properties. This node is particularly useful for AI artists who need to generate a base image with specific width, height, and color attributes, which can then be used as a canvas for further image processing or compositing tasks. By allowing you to define the size and color (including transparency) of the container, this node provides a flexible foundation for various creative workflows, ensuring that the generated image meets your exact specifications.

ImageContainer Input Parameters:

width

The width parameter specifies the width of the image container in pixels. It determines how wide the resulting image will be. The minimum value is 1, and the default value is 512. Adjusting this parameter allows you to control the horizontal size of your image container.

height

The height parameter specifies the height of the image container in pixels. It determines how tall the resulting image will be. The minimum value is 1, and the default value is 512. Adjusting this parameter allows you to control the vertical size of your image container.

red

The red parameter sets the red component of the background color for the image container. It ranges from 0 to 255, with a default value of 255. This parameter allows you to adjust the intensity of the red color in the background.

green

The green parameter sets the green component of the background color for the image container. It ranges from 0 to 255, with a default value of 255. This parameter allows you to adjust the intensity of the green color in the background.

blue

The blue parameter sets the blue component of the background color for the image container. It ranges from 0 to 255, with a default value of 255. This parameter allows you to adjust the intensity of the blue color in the background.

alpha

The alpha parameter controls the transparency of the background color for the image container. It ranges from 0.0 (completely transparent) to 1.0 (completely opaque), with a default value of 0.0. This parameter allows you to set the level of transparency for the background color.

ImageContainer Output Parameters:

IMAGE

The IMAGE output parameter provides the generated image container as a tensor. This tensor represents the image with the specified width, height, and color properties, and can be used as a base for further image processing or compositing tasks. The output is a single image tensor that can be easily integrated into your creative workflow.

ImageContainer Usage Tips:

• To create a fully opaque image container with a specific color, set the alpha parameter to 1.0 and adjust the red, green, and blue parameters to your desired color values.
• If you need a transparent background for your image container, set the alpha parameter to 0.0. This is useful for overlaying the container on other images without obscuring them.
• Experiment with different width and height values to create image containers of various sizes, suitable for different aspects of your projects.

ImageContainer Common Errors and Solutions:

ValueError: Container can't be smaller than max width or height of images.

• Explanation: This error occurs when the specified container dimensions are smaller than the dimensions of the images being processed.
• Solution: Ensure that the width and height parameters are set to values that are equal to or larger than the dimensions of the images you intend to use within the container.

ValueError: Invalid container size type.

• Explanation: This error occurs when an invalid container_size_type is provided.
• Solution: Make sure to use a valid container_size_type such as "sum", "sum_width", or "sum_height" when configuring the node.

RuntimeError: Expected tensor for 'images' input.

• Explanation: This error occurs when the input images are not provided as tensors.
• Solution: Ensure that the input images are correctly formatted as tensors before passing them to the node.