> ## 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.

# CLIPTextEncode - ComfyUI Built-in Node Documentation

> Complete documentation for the CLIPTextEncode node in ComfyUI. Learn its inputs, outputs, parameters and usage.

`CLIP Text Encode (CLIPTextEncode)` acts as a translator, converting your text descriptions into a format that AI can understand. This helps the AI interpret your input and generate the desired image.

Think of it as communicating with an artist who speaks a different language. The CLIP model, trained on vast image-text pairs, bridges this gap by converting your descriptions into "instructions" that the AI model can follow.

## Inputs

| Parameter | Data Type | Input Method    | Default | Range              | Description                                                                                                           |
| --------- | --------- | --------------- | ------- | ------------------ | --------------------------------------------------------------------------------------------------------------------- |
| text      | STRING    | Text Input      | Empty   | Any text           | Enter the description (prompt) for the image you want to create. Supports multi-line input for detailed descriptions. |
| clip      | CLIP      | Model Selection | None    | Loaded CLIP models | Select the CLIP model to use when translating your description into instructions for the AI model.                    |

## Outputs

| Output Name  | Data Type    | Description                                                                                        |
| ------------ | ------------ | -------------------------------------------------------------------------------------------------- |
| CONDITIONING | CONDITIONING | The processed "instructions" of your description that guide the AI model when generating an image. |

## Prompt Features

### Embedding Models

Embedding models allow you to apply specific artistic effects or styles. Supported formats include `.safetensors`, `.pt`, and `.bin`. To use an embedding model:

1. Place the file in the `ComfyUI/models/embeddings` folder.
2. Reference it in your text using `embedding:model_name`.

Example: If you have a model named `EasyNegative.pt` in your `ComfyUI/models/embeddings` folder, then you can use it like this:

```
worst quality, embedding:EasyNegative, bad quality
```

**IMPORTANT**: When using embedding models, verify that the file name matches and is compatible with your model's architecture. For example an embedding designed for SD1.5 will not work correctly for a SDXL model.

### Prompt Weight Adjustment

You can adjust the importance of certain parts of your description using parentheses. For example:

* `(beautiful:1.2)` increases the weight of "beautiful".
* `(beautiful:0.8)` decrease the weight of "beautiful".
* Plain parentheses `(beautiful)` will apply a default weight of 1.1.

You can use the keyboard shortcuts `ctrl + up/down arrow` to quickly adjust weights. The weight adjustment step size can be modified in the settings.

If you want to include literal parentheses in your prompt without changing the weight, you can escape them using a backslash e.g. `\(word\)`.

### Wildcard/Dynamic Prompts

Use `{}` to create dynamic prompts. For example, `{day|night|morning}` will randomly select one option each time the prompt is processed.

If you want to include literal curly braces in your prompt without triggering dynamic behavior, you can escape them using a backslash e.g. `\{word\}`.

### Comments in Prompts

You can add comments that are excluded from the prompt by using:

* `//` to comment out a single line.
* `/* */` to comment out a section or multiple lines.

Example:

```
// this line is excluded from the prompt.
a beautiful landscape, /* this part is ignored */ high quality
```