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Seamlessly integrate multiple Lora models for enhanced image generation creativity.
The Runware Lora Combine node is designed to seamlessly integrate multiple Lora models into a single, cohesive unit for use in Runware Image Inference. This node allows you to combine up to three different Lora models, enhancing the flexibility and creativity of your image generation process. By merging these models, you can leverage the unique strengths of each Lora to produce more nuanced and detailed outputs. This capability is particularly beneficial for AI artists looking to experiment with different styles or effects, as it provides a straightforward method to blend various influences into a single image generation task. The node's primary function is to facilitate the combination of Lora models, making it an essential tool for those seeking to push the boundaries of their creative projects.
This is a required input parameter that represents the first Lora model you wish to combine. It is essential for the node's operation, as it forms the base model in the combination process. The Lora 1 parameter is connected from a Runware Lora obtained through the Lora Search Node. This model serves as the primary influence in the combined output, and its characteristics will significantly impact the final image generation.
Lora 2 is an optional input parameter that allows you to add a second Lora model to the combination. By including this model, you can introduce additional stylistic or functional elements to the output. This parameter is also connected from a Runware Lora via the Lora Search Node. If provided, Lora 2 will be blended with Lora 1, offering a richer and more complex result.
Similar to Lora 2, Lora 3 is an optional input parameter that enables the inclusion of a third Lora model in the combination. This parameter provides further customization and depth to the image generation process. By connecting a third Lora model, you can achieve even more intricate and layered effects, enhancing the overall quality and uniqueness of the output.
The output of the Runware Lora Combine node is a collection of the combined Lora models, referred to as Runware Lora's. This output is crucial as it represents the merged influence of the input Lora models, ready to be used in subsequent image inference tasks. The combined Lora's encapsulate the characteristics and styles of the input models, providing a versatile and powerful tool for generating complex and detailed images.
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