ComfyUI Node: Image Batch Test Pattern

Image Batch Test Pattern:

The ImageBatchTestPattern node is designed to generate a batch of test images, each containing a sequential number displayed as text. This node is particularly useful for testing and debugging image processing pipelines, as it allows you to create a series of images with easily identifiable content. The generated images are black with the numbers rendered in randomly colored text, making it simple to track and verify the order and integrity of images through various stages of processing. This node is beneficial for AI artists and developers who need to ensure that their image handling and batch processing workflows are functioning correctly.

Image Batch Test Pattern Input Parameters:

batch_size

This parameter specifies the number of images to generate in the batch. It determines the total count of sequentially numbered images that will be created. The minimum value is 1, and there is no explicit maximum value, but it should be set according to the memory and performance capabilities of your system.

font

This parameter defines the font to be used for rendering the numbers on the images. It should be the name of a font file available in the specified font directory. The choice of font can affect the readability and aesthetic of the generated test images.

font_size

This parameter sets the size of the font used for the numbers. It impacts how large the numbers appear on the images. The font size should be chosen based on the dimensions of the images to ensure the numbers are clearly visible.

start_from

This parameter indicates the starting number for the sequence. The numbers on the images will begin from this value and increment by one for each subsequent image. This allows you to control the numbering sequence and start from any desired point.

width

This parameter specifies the width of each generated image in pixels. It determines the horizontal dimension of the images and should be set according to the requirements of your testing or debugging scenario.

height

This parameter specifies the height of each generated image in pixels. It determines the vertical dimension of the images and should be set according to the requirements of your testing or debugging scenario.

text_x

This parameter sets the x-coordinate for the position of the text on the images. It determines the horizontal placement of the numbers within the image, allowing you to control where the text appears.

text_y

This parameter sets the y-coordinate for the position of the text on the images. It determines the vertical placement of the numbers within the image, allowing you to control where the text appears.

Image Batch Test Pattern Output Parameters:

out_tensor

This output parameter is a tensor containing the batch of generated images. Each image in the tensor is represented as a normalized array of pixel values, making it suitable for further processing in image analysis or machine learning workflows. The tensor format ensures compatibility with various image processing libraries and frameworks.

Image Batch Test Pattern Usage Tips:

• To ensure the numbers are clearly visible, choose a font size that is appropriate for the dimensions of your images.
• Use the text_x and text_y parameters to position the numbers in a way that avoids overlapping with other elements in your images.
• If you need a specific sequence of numbers, set the start_from parameter to the desired starting value.

Image Batch Test Pattern Common Errors and Solutions:

GetImageRangeFromBatch: Start index is out of range

• Explanation: This error occurs when the start_index parameter is set to a value that is outside the valid range of indices for the input batch of images.
• Solution: Ensure that the start_index is within the range of 0 to the length of the input batch minus the num_frames value.

GetImageRangeFromBatch: End index is out of range

• Explanation: This error occurs when the calculated end index (start_index + num_frames) exceeds the length of the input batch of images.
• Solution: Adjust the start_index and num_frames parameters to ensure that the end index does not exceed the length of the input batch.