> ## 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.

# CLIPTextEncodeLumina2 - ComfyUI Built-in Node Documentation

> This node encodes a system prompt and a user prompt using a CLIP model into an embedding that can be used to guide the diffusion model towards generating specific images.

This node encodes a system prompt and a user prompt using a CLIP model into an embedding that can be used to guide the diffusion model towards generating specific images. It combines a pre-defined Lumina 2 system prompt with your custom text prompt and processes them through the CLIP model to create conditioning data for image generation.

## Inputs

| Parameter | Description | Data Type | Required | Range |
| - | - | - | - | - |
| `system_prompt` | Lumina2 provide two types of system prompts: Superior: You are an assistant designed to generate superior images with the superior degree of image-text alignment based on textual prompts or user prompts. Alignment: You are an assistant designed to generate high-quality images with the highest degree of image-text alignment based on textual prompts. | COMBO | Yes | `"superior"`<br />`"alignment"` |
| `user_prompt` | The text to be encoded. Supports multiline input and dynamic prompts. | STRING | Yes | N/A |
| `clip` | The CLIP model used for encoding the text. | CLIP | Yes | N/A |

**Note:** The `clip` input is required and cannot be None. If the clip input is invalid, the node will raise an error indicating that the checkpoint may not contain a valid CLIP or text encoder model.

## Outputs

| Output Name | Description | Data Type |
| - | - | - |
| `CONDITIONING` | A conditioning containing the embedded text used to guide the diffusion model. | CONDITIONING |

> 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/CLIPTextEncodeLumina2/en.md)

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