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Automated image selection based on aesthetic criteria for AI artists to streamline workflow and ensure visual consistency.
The Zuellni Aesthetic Select node is designed to help you curate and select images, latents, and masks based on aesthetic criteria. This node leverages various models to evaluate and score your inputs, allowing you to filter and choose the best ones according to your specified count. It is particularly useful for AI artists who want to automate the process of selecting the most visually appealing or stylistically consistent images from a larger set. By using this node, you can streamline your workflow and ensure that your final outputs meet your aesthetic standards.
The count
parameter specifies the number of top results you want to select based on the aesthetic evaluation. It is an integer value with a default of 1, a minimum of 0, and a maximum of 64. This parameter directly impacts how many images, latents, or masks will be returned after processing.
The images
parameter is optional and accepts image inputs that you want to evaluate. If provided, these images will be scored based on the selected models.
The latents
parameter is optional and accepts latent representations of images. These latents will be evaluated and scored similarly to images if provided.
The masks
parameter is optional and accepts mask inputs. These masks will be evaluated and scored if provided.
The models
parameter is optional and accepts a list of models that will be used to evaluate the inputs. These models determine the criteria and weights for scoring the images, latents, or masks.
The IMAGES
output parameter returns the selected images based on the aesthetic evaluation. These are the top images that meet your specified count and aesthetic criteria.
The LATENTS
output parameter returns the selected latent representations of images. These are the top latents that meet your specified count and aesthetic criteria.
The MASKS
output parameter returns the selected masks based on the aesthetic evaluation. These are the top masks that meet your specified count and aesthetic criteria.
The SCORES
output parameter returns a string representation of the scores for the selected inputs. This string provides a summary of how each input was evaluated and ranked.
count
parameter to control the number of top results you want to select, especially when working with large datasets.count
parameter is set to 0.count
parameter is set to a value greater than 0.© Copyright 2024 RunComfy. All Rights Reserved.