> ## Documentation Index
> Fetch the complete documentation index at: https://docs.comfy.org/llms.txt
> Use this file to discover all available pages before exploring further.

# LoraModelLoader - ComfyUI Built-in Node Documentation

> Complete documentation for the LoraModelLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage.

> 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)

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        | 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). |

**Note:** When `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. |