The 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 | Description | Data Type | Required | Range |
| --- | --- | --- | --- | --- |
| `model` | The diffusion model the LoRA will be applied to. | MODEL | Yes | - |
| `lora` | The LoRA model to apply to the diffusion model. | LORA_MODEL | Yes | - |
| `strength_model` | How strongly to modify the diffusion model. This value can be negative (default: 1.0). | FLOAT | Yes | -100.0 to 100.0 |
| `bypass` | When enabled, applies LoRA in bypass mode without modifying base model weights. Useful for training and when model weights are offloaded (default: False). | BOOLEAN | Yes | True or False |

**Note:** When `strength_model` is set to 0, the node returns the original model without applying any LoRA modifications.

## Outputs

| Output Name | Description | Data Type |
| --- | --- | --- |
| `model` | The modified diffusion model with LoRA weights applied. | MODEL |

> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraModelLoader/en.md)

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