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.
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. |
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. |
Basic Text Prompt Usage
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:
ComfyUI/models/embeddings
folderembedding:model_name
in your text
Example: If you have a model called EasyNegative.pt
, you can use it like this:Prompt Weight Adjustment
(beautiful:1.2)
will make the “beautiful” feature more prominent()
have a default weight of 1.1ctrl + up/down arrow
to quickly adjust weightsImportant Notes