ComfyUI Node: Empty Latent Ratio Custom SDXL (Mikey)

Empty Latent Ratio Custom SDXL (Mikey):

The Empty Latent Ratio Custom SDXL node is designed to generate latent tensors with custom dimensions based on specified width and height ratios. This node is particularly useful for AI artists who need to create latent spaces tailored to specific aspect ratios, ensuring that the generated images fit their desired dimensions. By leveraging predefined ratios or calculating new ones, this node provides flexibility and precision in generating latent tensors, which are essential for various AI art generation tasks. The node simplifies the process of creating latent spaces by automatically adjusting the dimensions based on the input ratios, making it easier for you to focus on the creative aspects of your work.

Empty Latent Ratio Custom SDXL (Mikey) Input Parameters:

width

The width parameter specifies the width of the latent space to be generated. It accepts integer values with a default of 1024, a minimum of 1, and a maximum of 8192. This parameter determines the horizontal dimension of the latent tensor and plays a crucial role in defining the aspect ratio of the generated latent space.

height

The height parameter specifies the height of the latent space to be generated. It accepts integer values with a default of 1024, a minimum of 1, and a maximum of 8192. This parameter determines the vertical dimension of the latent tensor and, along with the width, defines the overall aspect ratio of the latent space.

batch_size

The batch_size parameter determines the number of latent tensors to be generated in a single batch. It accepts integer values with a default of 1, a minimum of 1, and a maximum of 64. This parameter is useful for generating multiple latent spaces simultaneously, which can be beneficial for batch processing or creating variations of the same latent space.

Empty Latent Ratio Custom SDXL (Mikey) Output Parameters:

LATENT

The LATENT output parameter represents the generated latent tensor(s). This output is a dictionary containing a key samples that holds the latent tensor(s) with the specified dimensions. The latent tensor is a multi-dimensional array filled with zeros, which serves as a blank canvas for further processing or image generation tasks. The dimensions of the tensor are determined by the input width, height, and batch size, ensuring that the output matches the desired aspect ratio and quantity.

Empty Latent Ratio Custom SDXL (Mikey) Usage Tips:

• To achieve specific aspect ratios, ensure that the width and height parameters are set according to your desired dimensions. If you have predefined ratios, the node will automatically adjust the dimensions accordingly.
• Utilize the batch_size parameter to generate multiple latent spaces at once, which can save time and streamline your workflow when working on projects that require multiple variations.

Empty Latent Ratio Custom SDXL (Mikey) Common Errors and Solutions:

Invalid width or height value

• Explanation: The width or height value provided is outside the acceptable range (1 to 8192).
• Solution: Ensure that the width and height values are within the specified range. Adjust the values to be between 1 and 8192.

Batch size exceeds limit

• Explanation: The batch size value provided exceeds the maximum limit of 64. - Solution: Reduce the batch size value to be within the acceptable range of 1 to 64.

Undefined ratio

• Explanation: The specified width and height ratio is not defined in the ratio dictionary.
• Solution: Ensure that the width and height values correspond to a predefined ratio or use custom dimensions that can be processed by the node.