ComfyUI Node: Repeat Into Grid (latent)

Repeat Into Grid (latent):

The Repeat Into Grid (latent) node is designed to tile input latent samples into a grid with configurable dimensions. This node is particularly useful for AI artists who want to create complex compositions by repeating a single latent sample across a grid. By specifying the number of columns and rows, you can control the layout and structure of the grid, allowing for a high degree of customization in your generated images. This node simplifies the process of creating tiled patterns and can be a powerful tool for generating intricate designs or exploring variations of a single latent sample.

Repeat Into Grid (latent) Input Parameters:

samples

This parameter represents the latent samples that you want to tile into a grid. The input should be of type LATENT, which is a format used to represent latent space data in AI models. The latent samples are the core data that will be repeated across the grid.

columns

This parameter specifies the number of columns in the grid. It determines how many times the latent sample will be repeated horizontally. The value should be an integer, and it directly impacts the width of the resulting grid. Adjusting this parameter allows you to control the horizontal tiling of the latent samples.

rows

This parameter specifies the number of rows in the grid. It determines how many times the latent sample will be repeated vertically. The value should be an integer, and it directly impacts the height of the resulting grid. Adjusting this parameter allows you to control the vertical tiling of the latent samples.

Repeat Into Grid (latent) Output Parameters:

LATENT

The output of this node is a tiled grid of latent samples, represented in the LATENT format. This output can be used in subsequent nodes for further processing or directly converted into images. The grid structure of the output allows for complex compositions and patterns, making it a versatile tool for AI art generation.

Repeat Into Grid (latent) Usage Tips:

• Experiment with different combinations of columns and rows to create unique grid patterns and compositions.
• Use this node in conjunction with other latent manipulation nodes to explore variations and enhance your creative workflow.
• Consider the aspect ratio of your final image when setting the columns and rows to ensure the grid fits well within your desired dimensions.

Repeat Into Grid (latent) Common Errors and Solutions:

ValueError: Expected input to be a tensor

• Explanation: This error occurs when the input samples are not in the expected LATENT format.
• Solution: Ensure that the input samples are correctly formatted as LATENT data before passing them to the node.

IndexError: Dimension out of range

• Explanation: This error happens when the specified columns or rows exceed the dimensions of the input samples.
• Solution: Verify that the columns and rows parameters are within the valid range for the given latent samples. Adjust the values accordingly to fit the dimensions of the input data.