ComfyUI Node: FLATTEN (JOV) ⬇️

FLATTEN (JOV) ⬇️:

The FLATTEN (JOV) ⬇️ node is designed to combine multiple images into a single, cohesive image. This node is particularly useful for AI artists who need to merge various image layers or elements seamlessly. By leveraging advanced image processing techniques, the FLATTEN (JOV) ⬇️ node ensures that the final output maintains high quality and visual consistency. It allows for various scaling and fitting modes, ensuring that each image is appropriately adjusted before being combined. This node is essential for creating complex compositions where multiple images need to be integrated into a single frame, providing a streamlined and efficient workflow for artists.

FLATTEN (JOV) ⬇️ Input Parameters:

mode

The mode parameter determines the scaling mode to be applied to the images before they are combined. It can take values from the EnumScaleMode enumeration, such as NONE for no scaling or CROP for cropping the images to fit. This parameter ensures that each image is appropriately resized or cropped to match the desired output dimensions. The default value is EnumScaleMode.NONE.

sample

The sample parameter specifies the interpolation method used during the scaling process. It can take values from the EnumInterpolation enumeration, such as LANCZOS4 for high-quality scaling. This parameter affects the smoothness and quality of the resized images. The default value is EnumInterpolation.LANCZOS4.

wihi

The wihi parameter defines the width and height of the output image as a tuple (width, height). This parameter is crucial for setting the dimensions of the final combined image. The default value is [(512, 512)], with a minimum size constraint defined by MIN_IMAGE_SIZE.

matte

The matte parameter specifies the matte color to be used in the output image as a tuple (R, G, B, A). This parameter ensures that any transparent areas in the combined image are filled with the specified matte color. The default value is [(0, 0, 0, 255)], with each component ranging from 0 to 255.

FLATTEN (JOV) ⬇️ Output Parameters:

combined_image

The combined_image parameter is the final output of the node, representing the single image created by combining all input images. This output maintains the specified dimensions and matte color, ensuring a cohesive and visually consistent result. The combined image is returned as a tensor, ready for further processing or display.

FLATTEN (JOV) ⬇️ Usage Tips:

• Ensure that all input images are of similar dimensions or use the appropriate scaling mode to avoid distortion.
• Use high-quality interpolation methods like LANCZOS4 for better visual results when resizing images.
• Adjust the matte parameter to match the background color of your composition for seamless integration.

FLATTEN (JOV) ⬇️ Common Errors and Solutions:

"no images to flatten"

• Explanation: This error occurs when no input images are provided to the node.
• Solution: Ensure that you have supplied at least one image to be flattened. Check the input connections and parameters to confirm that images are being passed correctly.

"invalid mode value"

• Explanation: This error occurs when an invalid value is provided for the mode parameter.
• Solution: Verify that the mode parameter is set to a valid value from the EnumScaleMode enumeration. Correct any typos or incorrect values in the parameter settings.

"invalid sample value"

• Explanation: This error occurs when an invalid value is provided for the sample parameter.
• Solution: Ensure that the sample parameter is set to a valid value from the EnumInterpolation enumeration. Double-check the parameter value for accuracy.