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Generate blank latent image tensor for image processing and AI art tasks, ideal placeholder for creative projects.
The EmptyLatentImage
node is designed to generate a blank latent image tensor, which can be used as a starting point for various image processing and AI art generation tasks. This node is particularly useful when you need a placeholder or an initial latent space representation to work with. By creating an empty latent image, you can easily integrate it into your workflow, allowing for further manipulation, transformation, or enhancement using other nodes. The primary goal of this node is to provide a flexible and efficient way to initialize latent images, ensuring that you have a consistent and controlled starting point for your creative projects.
The width
parameter specifies the width of the latent image in pixels. It determines the horizontal dimension of the generated latent image. The width can range from a minimum of 16 pixels to a maximum defined by MAX_RESOLUTION
, with a default value of 512 pixels. Adjusting the width will impact the resolution and aspect ratio of the latent image, which can be crucial for certain artistic effects or processing requirements.
The height
parameter defines the height of the latent image in pixels, setting the vertical dimension of the generated latent image. Similar to the width, the height can range from 16 pixels to MAX_RESOLUTION
, with a default value of 512 pixels. Modifying the height will affect the overall resolution and aspect ratio, allowing you to tailor the latent image to your specific needs.
The batch_size
parameter determines the number of latent images to generate in a single batch. This parameter is essential for workflows that require processing multiple images simultaneously. The batch size can range from 1 to 4096, with a default value of 1. Increasing the batch size can be useful for batch processing tasks, enabling you to generate and manipulate multiple latent images efficiently.
The LATENT
output parameter represents the generated latent image tensor. This tensor is a multi-dimensional array containing the latent space representation of the image, which can be further processed or transformed using other nodes. The output is crucial for initializing workflows that involve latent space manipulations, providing a consistent and controlled starting point for your creative projects.
width
and height
parameters while ensuring they remain within the MAX_RESOLUTION
limit.batch_size
parameter to generate multiple latent images simultaneously, which can be beneficial for batch processing or creating variations of an image.MAX_RESOLUTION
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