This node creates a hook that applies a LoRA (Low-Rank Adaptation) model to modify only the model component of a neural network. It loads a checkpoint file and applies it with a specified strength to the model while leaving the CLIP component unchanged. This is an experimental node that extends the functionality of the base CreateHookModelAsLora class.

## Inputs

| Parameter | Description | Data Type | Required | Range |
| --- | --- | --- | --- | --- |
| `ckpt_name` | The checkpoint file to load as a LoRA model. Available options depend on the checkpoints folder contents. | STRING | Yes | Multiple options available |
| `strength_model` | The strength multiplier for applying the LoRA to the model component (default: 1.0) | FLOAT | Yes | -20.0 to 20.0 |
| `prev_hooks` | Optional previous hooks to chain with this hook | HOOKS | No | - |

## Outputs

| Output Name | Description | Data Type |
| --- | --- | --- |
| `hooks` | The created hook group containing the LoRA model modification | HOOKS |

> 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/CreateHookModelAsLoraModelOnly/en.md)

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