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