> ## Documentation Index
> Fetch the complete documentation index at: https://dripart-fix-cloud-button-text-1773163393.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# ClipTextEncode - ComfyUI Built-in Node Documentation

> The ClipTextEncode node is used to convert text prompts into AI-understandable 'language' for image generation.

`CLIP Text Encode (CLIPTextEncode)` acts like a translator, converting your creative text prompts into a special "language" that AI can understand, helping the AI accurately interpret what kind of image you want to create.

Imagine communicating with a foreign artist - you need a translator to help accurately convey the artwork you want. This node acts as that translator, using the CLIP model (an AI model trained on vast amounts of image-text pairs) to understand your text descriptions and convert them into "instructions" that the AI art model can understand.

## Inputs

| Parameter | Data Type | Input Method    | Default | Range              | Description                                                                                                                                          |
| --------- | --------- | --------------- | ------- | ------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------- |
| text      | STRING    | Text Input      | Empty   | Any text           | Like detailed instructions to an artist, enter your image description here. Supports multi-line text for detailed descriptions.                      |
| clip      | CLIP      | Model Selection | None    | Loaded CLIP models | Like choosing a specific translator, different CLIP models are like different translators with slightly different understandings of artistic styles. |

## Outputs

| Output Name  | Data Type    | Description                                                                                                                                                                                                     |
| ------------ | ------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| CONDITIONING | CONDITIONING | These are the translated "painting instructions" containing detailed creative guidance that the AI model can understand. These instructions tell the AI model how to create an image matching your description. |

## Usage Tips

1. **Basic Text Prompt Usage**
   * Write detailed descriptions like you're writing a short essay
   * More specific descriptions lead to more accurate results
   * Use English commas to separate different descriptive elements

2. **Special Feature: Using Embedding Models**
   * Embedding models are like preset art style packages that can quickly apply specific artistic effects
   * Currently supports .safetensors, .pt, and .bin file formats, and you don't necessarily need to use the complete model name
   * How to use:

     1. Place the embedding model file (in .pt format) in the `ComfyUI/models/embeddings` folder
     2. Use `embedding:model_name` in your text
        Example: If you have a model called `EasyNegative.pt`, you can use it like this:

     ```
     a beautiful landscape, embedding:EasyNegative, high quality
     ```

3. **Prompt Weight Adjustment**
   * Use parentheses to adjust the importance of certain descriptions
   * For example: `(beautiful:1.2)` will make the "beautiful" feature more prominent
   * Regular parentheses `()` have a default weight of 1.1
   * Use keyboard shortcuts `ctrl + up/down arrow` to quickly adjust weights
   * The weight adjustment step size can be modified in settings

4. **Important Notes**
   * Ensure the CLIP model is properly loaded
   * Use positive and clear text descriptions
   * When using embedding models, make sure the file name is correct and compatible with your current main model's architecture