ComfyUI Node: Empty Latent by Size (WLSH)

Empty Latent by Size (WLSH):

The Empty Latent by Size (WLSH) node is designed to generate an empty latent image tensor based on specified width, height, and batch size parameters. This node is particularly useful for AI artists who need to create a blank latent space for further processing or manipulation in their workflows. By providing a customizable resolution and batch size, it allows for flexibility in generating latent images that fit specific project requirements. The node operates by creating a tensor filled with zeros, which can then be used as a starting point for various latent space operations, ensuring that the generated latent images are compatible with subsequent processing steps.

Empty Latent by Size (WLSH) Input Parameters:

width

The width parameter specifies the width of the latent image in pixels. It determines the horizontal dimension of the generated latent space. The width must be a multiple of 8, with a minimum value of 16 and a maximum value defined by MAX_RESOLUTION. The default value is set to 512. Adjusting the width will impact the aspect ratio and the overall size of the latent image.

height

The height parameter specifies the height of the latent image in pixels. It determines the vertical dimension of the generated latent space. Similar to the width, the height must be a multiple of 8, with a minimum value of 16 and a maximum value defined by MAX_RESOLUTION. The default value is set to 512. Changing the height will affect the aspect ratio and the overall size of the latent image.

batch_size

The batch_size parameter defines the number of latent images to generate in a single batch. This allows for the creation of multiple latent images simultaneously, which can be useful for batch processing or generating variations. The batch size must be at least 1 and can go up to a maximum of 4096. The default value is 1. Increasing the batch size will result in more latent images being generated at once, which can be useful for large-scale projects.

Empty Latent by Size (WLSH) Output Parameters:

latent

The latent output parameter is a dictionary containing the generated latent image tensor. This tensor is filled with zeros and has dimensions based on the specified width, height, and batch size. The latent tensor serves as a blank canvas for further processing and manipulation in the latent space.

width

The width output parameter returns the adjusted width of the latent image in pixels. This value is the nearest multiple of 8 that is less than or equal to the specified width. It ensures that the generated latent image is compatible with subsequent processing steps that require specific dimensions.

height

The height output parameter returns the adjusted height of the latent image in pixels. Similar to the width, this value is the nearest multiple of 8 that is less than or equal to the specified height. It ensures that the generated latent image is compatible with subsequent processing steps that require specific dimensions.

Empty Latent by Size (WLSH) Usage Tips:

• Ensure that the width and height values are multiples of 8 to avoid dimension mismatch errors in subsequent processing steps.
• Use a batch size greater than 1 if you need to generate multiple latent images simultaneously for batch processing or creating variations.
• Adjust the width and height parameters to match the aspect ratio of your target output to ensure consistency in your workflow.

Empty Latent by Size (WLSH) Common Errors and Solutions:

"Width and height must be multiples of 8"

• Explanation: The specified width or height is not a multiple of 8, which is required for compatibility with subsequent processing steps.
• Solution: Ensure that both the width and height values are multiples of 8. Adjust the values accordingly before generating the latent image.

"Batch size must be between 1 and 4096"

• Explanation: The specified batch size is outside the allowed range of 1 to 4096. - Solution: Set the batch size to a value within the range of 1 to 4096. Adjust the batch size parameter to meet this requirement.

"Width or height exceeds maximum resolution"

• Explanation: The specified width or height exceeds the maximum allowed resolution defined by MAX_RESOLUTION.
• Solution: Reduce the width and height values to be within the maximum resolution limit. Check the MAX_RESOLUTION value and adjust the parameters accordingly.