ComfyUI Node: Multi Crop

Multi Crop:

The Zuellni Multi Crop node is designed to facilitate the cropping of images, latents, and masks to specified dimensions. This node is particularly useful for AI artists who need to standardize the size of their inputs for further processing or analysis. By allowing you to define the width and height of the crop, the node ensures that your data is consistently formatted, which can be crucial for achieving high-quality results in various AI art applications. The cropping process is performed centrally, ensuring that the most relevant part of the image, latent, or mask is retained. This node is versatile and can handle multiple types of data inputs, making it a valuable tool in your AI art toolkit.

Multi Crop Input Parameters:

width

The width parameter specifies the width of the crop in pixels. It determines how wide the cropped section of the image, latent, or mask will be. The minimum value is 8, the maximum value is 8192, and the default value is 512. Adjusting this parameter allows you to control the horizontal dimension of the cropped output.

height

The height parameter specifies the height of the crop in pixels. It determines how tall the cropped section of the image, latent, or mask will be. The minimum value is 8, the maximum value is 8192, and the default value is 512. Adjusting this parameter allows you to control the vertical dimension of the cropped output.

images

The images parameter is an optional input that accepts image data. If provided, the node will crop the images to the specified width and height. This parameter allows you to standardize the size of your image inputs for further processing.

latents

The latents parameter is an optional input that accepts latent data. If provided, the node will crop the latents to the specified width and height. This parameter is useful for ensuring that your latent inputs are consistently sized for subsequent operations.

masks

The masks parameter is an optional input that accepts mask data. If provided, the node will crop the masks to the specified width and height. This parameter helps in maintaining uniformity in the size of your mask inputs.

Multi Crop Output Parameters:

IMAGES

The IMAGES output parameter provides the cropped images. This output is useful for further image processing tasks where a standardized image size is required.

LATENTS

The LATENTS output parameter provides the cropped latents. This output is essential for subsequent operations that require latents of a specific size.

MASKS

The MASKS output parameter provides the cropped masks. This output is beneficial for tasks that involve mask processing, ensuring that the masks are of a consistent size.

Multi Crop Usage Tips:

• To ensure the best results, make sure that the width and height parameters are set to values that are multiples of 8, as this aligns with the internal processing of the node.
• Use the images, latents, and masks parameters selectively based on the type of data you are working with. You do not need to provide all three inputs if you are only working with one type of data.

Multi Crop Common Errors and Solutions:

"Input size is too small"

• Explanation: This error occurs when the specified width or height is smaller than the minimum allowed value of 8. - Solution: Ensure that the width and height parameters are set to at least 8 pixels.

"Input size exceeds maximum limit"

• Explanation: This error occurs when the specified width or height exceeds the maximum allowed value of 8192. - Solution: Adjust the width and height parameters to be within the range of 8 to 8192 pixels.

"No input data provided"

• Explanation: This error occurs when none of the optional inputs (images, latents, masks) are provided.
• Solution: Provide at least one type of input data to the node for processing.