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Combine up to eight LoRA hooks into a unified hook for AI model conditioning.
The ADE_CombineLoraHooksEight node is designed to combine up to eight different LoRA (Low-Rank Adaptation) hooks into a single, unified LoRA hook. This node is particularly useful for AI artists who want to merge multiple LoRA hooks to create more complex and nuanced conditioning for their models. By combining multiple hooks, you can leverage the strengths of each individual hook, resulting in a more versatile and powerful conditioning setup. This node simplifies the process of merging multiple LoRA hooks, ensuring that you can focus on your creative work without getting bogged down by technical details.
This optional parameter accepts a LoRA hook group, which is a collection of LoRA hooks that can be applied to a model. If provided, this hook will be one of the eight hooks combined into a single LoRA hook. The impact of this parameter is that it contributes to the final combined hook, adding its unique conditioning properties to the mix. There are no minimum or maximum values, as it is a qualitative input.
Similar to lora_hook_A, this optional parameter accepts another LoRA hook group. It will be combined with the other provided hooks to form a single, unified LoRA hook. The inclusion of this hook allows for more complex conditioning by adding another layer of adaptation. There are no minimum or maximum values.
This optional parameter accepts a third LoRA hook group. When provided, it will be combined with the other hooks to create a more intricate conditioning setup. The impact of this parameter is to further refine the final combined hook by adding its specific conditioning properties. There are no minimum or maximum values.
This optional parameter accepts a fourth LoRA hook group. Including this hook in the combination process allows for even more detailed and nuanced conditioning. The impact of this parameter is to enhance the final combined hook with its unique properties. There are no minimum or maximum values.
This optional parameter accepts a fifth LoRA hook group. By providing this hook, you can add another layer of conditioning to the final combined hook, making it more versatile. The impact of this parameter is to contribute its specific conditioning properties to the final result. There are no minimum or maximum values.
This optional parameter accepts a sixth LoRA hook group. Including this hook in the combination process allows for a richer and more complex conditioning setup. The impact of this parameter is to further refine the final combined hook by adding its unique properties. There are no minimum or maximum values.
This optional parameter accepts a seventh LoRA hook group. By providing this hook, you can add another layer of conditioning to the final combined hook, making it more versatile. The impact of this parameter is to contribute its specific conditioning properties to the final result. There are no minimum or maximum values.
This optional parameter accepts an eighth LoRA hook group. Including this hook in the combination process allows for the most detailed and nuanced conditioning setup possible with this node. The impact of this parameter is to enhance the final combined hook with its unique properties. There are no minimum or maximum values.
The output of this node is a single, combined LoRA hook group. This unified hook incorporates the conditioning properties of all the provided input hooks, resulting in a more complex and versatile conditioning setup. The combined hook can be used in subsequent nodes to apply its conditioning effects to models, enabling more intricate and refined adaptations.
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