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Generate high-quality latent images for AI art using SD3 model, optimizing for advanced art techniques.
The PGSD3LatentGenerator
node is designed to generate latent images for use in AI art creation, specifically tailored for the SD3 model. This node is essential for artists looking to create high-quality latent images that can be further processed or manipulated within the AI art pipeline. By leveraging the capabilities of the SD3 model, this node ensures that the generated latent images are optimized for subsequent stages of the creative process, providing a robust foundation for generating detailed and intricate artworks. The primary goal of this node is to facilitate the creation of latent images that are both high in quality and compatible with advanced AI art techniques, making it a valuable tool for artists aiming to push the boundaries of their creative projects.
The width
parameter specifies the width of the latent image to be generated. It determines the horizontal resolution of the output image. The width must be an integer value, with a default of 1024 pixels, a minimum of 16 pixels, and a maximum value defined by the system's maximum resolution. Adjusting the width allows you to control the level of detail and the aspect ratio of the generated latent image.
The height
parameter defines the height of the latent image to be generated. It sets the vertical resolution of the output image. Similar to the width, the height must be an integer value, with a default of 1024 pixels, a minimum of 16 pixels, and a maximum value defined by the system's maximum resolution. Modifying the height enables you to manage the aspect ratio and the amount of vertical detail in the latent image.
The batch_size
parameter indicates the number of latent images to generate in a single batch. This parameter is crucial for controlling the volume of output, especially when generating multiple images for batch processing. The batch size must be an integer, with a default value of 1, a minimum of 1, and a maximum of 4096. Increasing the batch size can be useful for generating multiple variations or for parallel processing in larger projects.
The output parameter LATENT
represents the generated latent images. This output is a dictionary containing the key samples
, which holds the tensor of latent images. These latent images are ready for further processing or manipulation within the AI art pipeline. The latent images are optimized for use with the SD3 model, ensuring compatibility and high quality for subsequent stages of the creative process.
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