ComfyUI Node: AspectPadImageForOutpainting

AspectPadImageForOutpainting:

The AspectPadImageForOutpainting node is designed to help you prepare images for outpainting by adjusting their aspect ratios and adding padding as needed. This node is particularly useful when you need to fit an image into a specific aspect ratio without distorting its content. By resizing the image and adding padding, it ensures that the image maintains its original proportions while fitting into the desired dimensions. This is especially beneficial for AI artists who want to extend their artwork seamlessly or prepare images for further processing in a consistent format. The node offers flexibility in terms of aspect ratios and padding justifications, making it a versatile tool for various outpainting tasks.

AspectPadImageForOutpainting Input Parameters:

image

The image parameter is the input image that you want to adjust for outpainting. This image should be in a format that the node can process, typically a tensor with shape (bs, h, w, c), where bs is the batch size, h is the height, w is the width, and c is the number of channels. The image will be resized and padded according to the specified aspect ratio and justification settings.

aspect_ratio

The aspect_ratio parameter allows you to select the desired aspect ratio for the output image. You can choose from a predefined list of aspect ratios, such as SDXL_1-1_square_1024x1024, SDXL_4-3_landscape_1152x896, and many others. The default value is `SD1.5

• 1:1 square 512x512`. This parameter determines the target dimensions for the image, ensuring it fits within the specified aspect ratio.

justification

The justification parameter specifies how the image should be aligned within the padded area. You can choose from top-left, center, or bottom-right, with the default being center. This setting affects where the image will be placed within the new dimensions, allowing you to control the padding distribution around the image.

AspectPadImageForOutpainting Output Parameters:

IMAGE

The IMAGE output is the adjusted image that has been resized and padded to fit the specified aspect ratio. This image maintains the original content's proportions while fitting into the new dimensions, making it ready for outpainting or further processing.

INT (left)

The left output parameter indicates the number of pixels added as padding to the left side of the image. This value helps you understand how the image has been adjusted horizontally.

INT (top)

The top output parameter indicates the number of pixels added as padding to the top of the image. This value helps you understand how the image has been adjusted vertically.

INT (right)

The right output parameter indicates the number of pixels added as padding to the right side of the image. This value helps you understand how the image has been adjusted horizontally.

INT (bottom)

The bottom output parameter indicates the number of pixels added as padding to the bottom of the image. This value helps you understand how the image has been adjusted vertically.

AspectPadImageForOutpainting Usage Tips:

• To achieve the best results, choose an aspect ratio that closely matches the original image's proportions to minimize the amount of padding required.
• Use the center justification for a balanced padding distribution, which is often visually pleasing and maintains the focus on the central part of the image.
• Experiment with different aspect ratios and justifications to see how they affect the final output, especially if you are preparing images for different display formats or further artistic manipulation.

AspectPadImageForOutpainting Common Errors and Solutions:

ValueError: Input image must have 1 or 3 channels, but got {c} channels. Image shape = {image.shape}

• Explanation: This error occurs when the input image does not have the required number of channels (1 or 3).
• Solution: Ensure that your input image has either 1 (grayscale) or 3 (RGB) channels before passing it to the node.

KeyError: {aspect_ratio}

• Explanation: This error occurs when the specified aspect ratio is not found in the predefined list.
• Solution: Double-check the aspect ratio value you provided and ensure it matches one of the predefined options in the ASPECT_RATIO_MAP.

RuntimeError: The size of tensor a (X) must match the size of tensor b (Y) at non-singleton dimension Z

• Explanation: This error occurs when there is a mismatch in tensor dimensions during the padding process.
• Solution: Verify that the input image dimensions are compatible with the specified aspect ratio and justification settings. If necessary, resize the image to a compatible size before processing.