Visit ComfyUI Online for ready-to-use ComfyUI environment
Facilitates selection of latent resolutions for AI art projects, streamlining image dimension management.
The SD3LatentSelectRes node, also known as "SD3 Select Latent Resolution," is designed to facilitate the selection of specific latent resolutions for your AI-generated art projects. This node allows you to choose from predefined resolution sizes, ensuring that your generated images meet the desired dimensions. By leveraging this node, you can streamline the process of setting up your latent space, making it easier to manage and manipulate the resolution of your generated samples. This node is particularly useful for artists who need to work with specific image dimensions, providing a straightforward way to select and apply these settings without delving into complex configurations.
The size_selected
parameter allows you to choose from a list of predefined resolution sizes. This parameter is crucial as it determines the width and height of the latent space that will be generated. The available options are read from a sizes.json
file, which contains various resolution settings. By selecting the appropriate size, you ensure that your generated images will have the desired dimensions.
The batch_size
parameter specifies the number of samples to generate in a single batch. This parameter is essential for controlling the volume of generated latent samples, which can be useful for batch processing or generating multiple variations of an image. The batch_size
can range from a minimum of 1 to a maximum of 4096, with a default value of 1. Adjusting this parameter allows you to manage the computational load and the number of generated samples effectively.
The width
output parameter provides the width of the selected latent resolution. This value is derived from the size_selected
input and is essential for understanding the dimensions of the generated latent space. It helps in ensuring that the generated images meet the specified width requirements.
The height
output parameter provides the height of the selected latent resolution. Similar to the width
parameter, this value is derived from the size_selected
input and is crucial for ensuring that the generated images meet the specified height requirements.
The samples
output parameter contains the generated latent samples based on the selected resolution and batch size. These samples are represented as tensors and are essential for further processing and manipulation in your AI art projects. The latent samples serve as the foundational data that can be transformed into images through various generative models.
batch_size
parameter to generate multiple samples in one go, which can be useful for creating variations or conducting batch processing.size_selected
parameter does not match any of the predefined sizes in the sizes.json
file.size_selected
value is one of the available options listed in the sizes.json
file. Double-check the spelling and format of the selected size.batch_size
parameter is set to a value outside the allowed range (1 to 4096).batch_size
parameter to a value within the allowed range. The minimum value is 1, and the maximum value is 4096.© Copyright 2024 RunComfy. All Rights Reserved.