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Facilitates nuanced model parameter subtraction for AI model variations and fine-tuning.
The ModelMergeSubtract node is designed to facilitate the subtraction of one model's parameters from another, allowing for nuanced adjustments and fine-tuning of AI models. This node is particularly useful for AI artists and developers who want to create unique model variations by subtracting specific features or characteristics from one model using another as a reference. By leveraging this node, you can achieve a more controlled and precise model merging process, enhancing the creative possibilities and performance of your AI models.
This parameter represents the primary model from which the subtraction process will begin. It serves as the base model to which the modifications will be applied. The type of this parameter is MODEL
.
This parameter represents the secondary model whose parameters will be subtracted from the primary model. It acts as the reference model for the subtraction process. The type of this parameter is MODEL
.
The multiplier parameter controls the intensity of the subtraction process. It determines how much influence the secondary model's parameters will have when subtracted from the primary model. The value of this parameter can range from -10.0 to 10.0, with a default value of 1.0. Adjusting this value allows for fine-tuning the subtraction effect, where higher values increase the impact and negative values invert the subtraction.
The output of the ModelMergeSubtract node is a modified model that results from the subtraction process. This output model incorporates the changes specified by the multiplier parameter, reflecting the influence of the secondary model's parameters subtracted from the primary model. The type of this output is MODEL
.
Error: Incompatible model types
Error: Multiplier out of range
Error: Model cloning failed
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