> ## 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.

# LoraLoaderBypassModelOnly - ComfyUI Built-in Node Documentation

> Complete documentation for the LoraLoaderBypassModelOnly 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/LoraLoaderBypassModelOnly/en.md)

This node applies a LoRA (Low-Rank Adaptation) to a model to modify its behavior, but only affects the model component itself. It loads a specified LoRA file and adjusts the model's weights by a given strength, leaving other components like the CLIP text encoder unchanged.

## Inputs

| Parameter        | Data Type | Required | Range                          | Description                                                                                                                                                                       |
| ---------------- | --------- | -------- | ------------------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `model`          | MODEL     | Yes      | -                              | The base model to which the LoRA adjustments will be applied.                                                                                                                     |
| `lora_name`      | STRING    | Yes      | (List of available LoRA files) | The name of the LoRA file to load and apply. The options are populated from the files in the `loras` directory.                                                                   |
| `strength_model` | FLOAT     | Yes      | -100.0 to 100.0                | The strength of the LoRA's effect on the model's weights. A positive value applies the LoRA, a negative value applies the inverse, and a value of 0 has no effect (default: 1.0). |

## Outputs

| Output Name | Data Type | Description                                                          |
| ----------- | --------- | -------------------------------------------------------------------- |
| `model`     | MODEL     | The modified model with the LoRA adjustments applied to its weights. |