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Facilitates custom prompt modes within ComfyUI for SDXL, enabling dynamic interactions with AI models.
The SeargeCustomPromptMode
node is designed to facilitate custom prompt modes within the ComfyUI framework, specifically tailored for SDXL. This node allows you to define and manage custom prompting behaviors, enabling more flexible and dynamic interactions with your AI models. By leveraging this node, you can create a structured data stream that encapsulates your custom prompting logic, making it easier to integrate and utilize within your AI workflows. The primary function of this node is to generate a dictionary that includes your custom prompting configurations, which can then be used downstream in your AI processing pipeline. This node is particularly useful for AI artists who need to experiment with different prompting styles and modes to achieve the desired artistic output.
The data
parameter is an optional input that accepts a data stream of type SRG_DATA_STREAM
. This parameter allows you to pass in existing data streams that can be augmented or modified by the custom prompt mode logic. If no data is provided, the node will initialize an empty dictionary to store the custom prompting configurations. This flexibility ensures that you can either build upon existing data or start from scratch, depending on your specific needs.
The data
output parameter is of type SRG_DATA_STREAM
and contains the dictionary with the custom prompting configurations. This output is crucial as it encapsulates the custom prompt mode settings that you have defined, making it available for further processing in your AI pipeline. The dictionary includes key-value pairs that represent different aspects of your custom prompting logic, which can be utilized by other nodes or components within the ComfyUI framework.
SeargeCustomPromptMode
node, start by defining your custom prompting logic in the form of a dictionary. This can include various configurations and settings that you want to apply to your prompts.data
parameter. This allows you to build upon existing configurations without starting from scratch.data
parameter is not provided, the node will initialize an empty dictionary. This is not an error but a default behavior.SRG_DATA_STREAM
if you want to augment existing data. Otherwise, the node will work with an empty dictionary.data
parameter is not of type SRG_DATA_STREAM
, the node may not function as expected.SRG_DATA_STREAM
) to ensure proper functioning of the node.© Copyright 2024 RunComfy. All Rights Reserved.