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# CLIPTextEncodeSD3 - ComfyUI Built-in Node Documentation

> Complete documentation for the CLIPTextEncodeSD3 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/CLIPTextEncodeSD3/en.md)

The CLIPTextEncodeSD3 node processes text inputs for Stable Diffusion 3 models by encoding multiple text prompts using different CLIP models. It handles three separate text inputs (clip\_g, clip\_l, and t5xxl) and provides options for managing empty text padding. The node ensures proper token alignment between different text inputs and returns conditioning data suitable for SD3 generation pipelines.

## Inputs

| Parameter       | Data Type | Input Type                 | Default | Range                      | Description                                |
| --------------- | --------- | -------------------------- | ------- | -------------------------- | ------------------------------------------ |
| `clip`          | CLIP      | Required                   | -       | -                          | The CLIP model used for text encoding      |
| `clip_l`        | STRING    | Multiline, Dynamic Prompts | -       | -                          | Text input for the local CLIP model        |
| `clip_g`        | STRING    | Multiline, Dynamic Prompts | -       | -                          | Text input for the global CLIP model       |
| `t5xxl`         | STRING    | Multiline, Dynamic Prompts | -       | -                          | Text input for the T5-XXL model            |
| `empty_padding` | COMBO     | Selection                  | -       | \["none", "empty\_prompt"] | Controls how empty text inputs are handled |

**Parameter Constraints:**

* When `empty_padding` is set to "none", empty text inputs for `clip_g`, `clip_l`, or `t5xxl` will result in empty token lists instead of padding
* The node automatically balances token lengths between `clip_l` and `clip_g` inputs by padding the shorter one with empty tokens when lengths differ
* All text inputs support dynamic prompts and multiline text entry

## Outputs

| Output Name    | Data Type    | Description                                                                  |
| -------------- | ------------ | ---------------------------------------------------------------------------- |
| `CONDITIONING` | CONDITIONING | The encoded text conditioning data ready for use in SD3 generation pipelines |