Documentation Index
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This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHubThe LoraModelLoader node applies trained LoRA (Low-Rank Adaptation) weights to a diffusion model. It modifies the base model by loading LoRA weights from a trained LoRA model and adjusting their influence strength. This allows you to customize the behavior of diffusion models without retraining them from scratch.
Inputs
| Parameter | Data Type | Required | Range | Description |
|---|---|---|---|---|
model | MODEL | Yes | - | The diffusion model the LoRA will be applied to. |
lora | LORA_MODEL | Yes | - | The LoRA model to apply to the diffusion model. |
strength_model | FLOAT | Yes | -100.0 to 100.0 | How strongly to modify the diffusion model. This value can be negative (default: 1.0). |
bypass | BOOLEAN | Yes | True or False | When enabled, applies LoRA in bypass mode without modifying base model weights. Useful for training and when model weights are offloaded (default: False). |
strength_model is set to 0, the node returns the original model without applying any LoRA modifications.
Outputs
| Output Name | Data Type | Description |
|---|---|---|
model | MODEL | The modified diffusion model with LoRA weights applied. |
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