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This node creates a hook model as a LoRA (Low-Rank Adaptation) by loading checkpoint weights and applying strength adjustments to both the model and CLIP components. It allows you to apply LoRA-style modifications to existing models through a hook-based approach, enabling fine-tuning and adaptation without permanent model changes. The node can combine with previous hooks and caches loaded weights for efficiency.

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Inputs

Parameter Constraints:
  • The ckpt_name parameter loads checkpoints from the available checkpoints folder
  • Both strength parameters accept values from -20.0 to 20.0 with 0.01 step increments
  • When prev_hooks is not provided, the node creates a new hook group
  • The node caches loaded weights to avoid reloading the same checkpoint multiple times

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Outputs