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Facilitates dynamic loading of hypernetworks to enhance AI model behavior for artistic effects and performance improvement.
The HypernetworkLoader (dirty) node is designed to facilitate the loading of hypernetworks into your AI models, allowing you to enhance and modify the model's behavior dynamically. This node is particularly useful for AI artists who want to experiment with different hypernetwork configurations to achieve unique artistic effects or improve model performance. By specifying a hypernetwork name and adjusting the strength parameter, you can seamlessly integrate various hypernetworks into your model, providing greater flexibility and control over the model's output. The primary goal of this node is to streamline the process of loading and applying hypernetworks, making it accessible even to those without a deep technical background.
This parameter represents the AI model into which the hypernetwork will be loaded. It is essential as it serves as the base model that will be modified by the hypernetwork.
This is a string parameter that specifies the name of the hypernetwork you wish to load. The default value is an empty string. The node will search for a matching hypernetwork file based on this name. If the specified name does not match any available hypernetwork files, an error will be raised.
This float parameter controls the intensity of the hypernetwork's effect on the model. The default value is 1.0, with a minimum value of -10.0 and a maximum value of 10.0. Adjusting this parameter allows you to fine-tune the influence of the hypernetwork, with higher values increasing the effect and lower values reducing it.
The output is the modified AI model with the hypernetwork applied. This model can then be used for further processing or generating outputs, reflecting the changes introduced by the hypernetwork.
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