The CLIPTextEncodeHiDream node processes four separate text inputs using different language models (CLIP-L, CLIP-G, T5-XXL, and LLaMA) and combines them into a single conditioning output. It tokenizes each text input with its corresponding model and encodes them together using a scheduled encoding approach, enabling more sophisticated text conditioning by leveraging multiple language models simultaneously.

## Inputs

| Parameter | Description | Data Type | Required | Range |
| --- | --- | --- | --- | --- |
| `clip` | The CLIP model used for tokenization and encoding | CLIP | Yes | - |
| `clip_l` | Text input for CLIP-L model processing. Supports multiline text and dynamic prompts. | STRING | Yes | - |
| `clip_g` | Text input for CLIP-G model processing. Supports multiline text and dynamic prompts. | STRING | Yes | - |
| `t5xxl` | Text input for T5-XXL model processing. Supports multiline text and dynamic prompts. | STRING | Yes | - |
| `llama` | Text input for LLaMA model processing. Supports multiline text and dynamic prompts. | STRING | Yes | - |

**Note:** All four text inputs (`clip_l`, `clip_g`, `t5xxl`, and `llama`) are required for proper functioning, as each contributes to the final conditioning output through the scheduled encoding process.

## Outputs

| Output Name | Description | Data Type |
| --- | --- | --- |
| `CONDITIONING` | The combined conditioning output from all processed text inputs, encoded using the scheduled encoding method | 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/CLIPTextEncodeHiDream/en.md)

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