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Facilitates dynamic selection between upscaling models based on boolean decision for image processing workflows.
The ChooseUpscaleModel
node is designed to facilitate the selection between two different upscaling models based on a simple boolean decision. This node is particularly useful in scenarios where you have multiple upscaling models available and need to dynamically choose which one to apply based on specific conditions or preferences. By providing a straightforward mechanism to toggle between models, it enhances flexibility and control in your image processing workflow. This node is part of the ControlAltAI Nodes category, which focuses on logic-based operations, allowing you to streamline your decision-making processes when working with AI-generated art or image enhancement tasks.
This parameter represents the first upscaling model option. It is one of the two models you can choose from for your image processing task. The model should be of type UPSCALE_MODEL
, which is a predefined type in the system that ensures compatibility with the node's operations. The choice of model can significantly impact the quality and characteristics of the upscaled image, depending on the model's architecture and training data.
Similar to upscale_model_1
, this parameter represents the second upscaling model option. It provides an alternative to the first model, allowing you to compare and select the most suitable model for your specific needs. Like the first model, it must also be of type UPSCALE_MODEL
. The availability of a second model offers flexibility in achieving different visual effects or performance characteristics in the upscaling process.
This boolean parameter determines which of the two provided models will be used for the upscaling task. If set to True
, the node will select upscale_model_1
; if set to False
, it will choose upscale_model_2
. The default value is True
, meaning that upscale_model_1
is used by default unless specified otherwise. This parameter allows for dynamic decision-making in workflows, enabling you to switch models based on external conditions or preferences.
The output parameter upscale_model
is the selected upscaling model based on the input parameters. It returns the model that was chosen according to the use_model_1
boolean value. This output is crucial as it determines which model will be applied in subsequent image processing steps, directly affecting the final result of the upscaling operation.
use_model_1
parameter to easily switch between models in different scenarios, such as testing or comparing model performance.upscale_model_1
and upscale_model_2
are properly loaded and compatible with the node to avoid runtime errors.UPSCALE_MODEL
type.© Copyright 2024 RunComfy. All Rights Reserved.
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