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Specialized node enhancing AI model guidance by emphasizing positive prompt directionality for accurate outputs.
Mahiro is a specialized node designed to enhance the guidance function in AI models, particularly focusing on the directionality of positive prompts. Its primary purpose is to modify the guidance scale to emphasize the 'direction' of the positive prompt rather than merely the difference between positive and negative prompts. This approach aims to improve the model's ability to generate outputs that are more aligned with the intended positive prompt, potentially leading to more accurate and desirable results. By adjusting the guidance mechanism, Mahiro helps in refining the model's output, making it a valuable tool for AI artists who seek to achieve more precise and controlled results in their creative projects.
The model
parameter is a required input that represents the AI model to be modified. This parameter is crucial as it serves as the foundation upon which the Mahiro node applies its guidance modifications. The model should be a compatible AI model that can be cloned and adjusted by the Mahiro node. The input does not have specific minimum, maximum, or default values, as it depends on the model being used in your project. The primary function of this parameter is to provide the Mahiro node with the necessary model structure to apply its guidance adjustments effectively.
The patched_model
is the output parameter of the Mahiro node, representing the modified version of the input model. This output is significant as it contains the adjusted guidance function that emphasizes the directionality of the positive prompt. The patched model is expected to produce outputs that are more aligned with the intended creative direction, offering AI artists a refined tool for generating content. The interpretation of this output is that it is a model ready for use in further processing or generation tasks, with enhanced guidance capabilities tailored by the Mahiro node.
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