ComfyUI Node: Image Constant Color (RGB)

Image Constant Color (RGB):

The ImageConstant node is designed to generate a constant color image based on specified RGB values. This node is particularly useful for creating solid color backgrounds or masks in your image processing pipeline. By allowing you to define the width, height, and batch size of the image, along with the red, green, and blue color components, it provides a flexible way to produce uniform images that can be used in various artistic and technical applications. The node operates efficiently on the specified device, making it a versatile tool for both CPU and GPU environments.

Image Constant Color (RGB) Input Parameters:

width

The width parameter defines the width of the generated image in pixels. It accepts integer values with a default of 512, a minimum of 1, and a maximum defined by MAX_RESOLUTION. Adjusting this parameter will change the horizontal dimension of the output image.

height

The height parameter specifies the height of the generated image in pixels. Similar to the width parameter, it accepts integer values with a default of 512, a minimum of 1, and a maximum defined by MAX_RESOLUTION. This parameter controls the vertical dimension of the output image.

batch_size

The batch_size parameter determines the number of images to generate in a single batch. It accepts integer values with a default of 1, a minimum of 1, and a maximum of 4096. This is useful for generating multiple images simultaneously, which can be beneficial for batch processing tasks.

red

The red parameter sets the intensity of the red color component in the generated image. It accepts floating-point values ranging from 0.0 to 1.0, with a default of 0.0. Adjusting this parameter will change the red channel's intensity in the output image.

green

The green parameter controls the intensity of the green color component in the generated image. It accepts floating-point values from 0.0 to 1.0, with a default of 0.0. Modifying this parameter will affect the green channel's intensity in the output image.

blue

The blue parameter defines the intensity of the blue color component in the generated image. It accepts floating-point values between 0.0 and 1.0, with a default of 0.0. Changing this parameter will alter the blue channel's intensity in the output image.

Image Constant Color (RGB) Output Parameters:

IMAGE

The IMAGE output parameter provides the generated image(s) as a tensor. This tensor contains the specified number of images (as defined by batch_size), each with the defined width, height, and RGB color values. The output can be used directly in subsequent image processing nodes or saved for later use.

Image Constant Color (RGB) Usage Tips:

• To create a solid color background, set the width and height to match your desired image dimensions and adjust the red, green, and blue parameters to achieve the desired color.
• Use the batch_size parameter to generate multiple images with the same color settings, which can be useful for batch processing or creating uniform image sets.

Image Constant Color (RGB) Common Errors and Solutions:

Latent shape mismatch: {new_shape} and {orig_shape}

• Explanation: This error occurs when there is a mismatch in the shape of the latent tensors being processed.
• Solution: Ensure that the dimensions of the input tensors match the expected dimensions. Verify the width, height, and batch_size parameters to ensure they are consistent across all inputs.

Invalid value for parameter: {parameter_name}

• Explanation: This error indicates that an invalid value has been provided for one of the input parameters.
• Solution: Check the acceptable range for the parameter in question and ensure that the value provided falls within this range. For example, ensure that red, green, and blue values are between 0.0 and 1.0.

Device not supported: {device}

• Explanation: This error occurs when the specified device is not supported for the operation.
• Solution: Verify that the device specified (e.g., "cpu" or "gpu") is available and supported by your system. If necessary, change the device setting to a supported option.