CLIP Text Encode (Prompt)

Documentation

Class name: CLIPTextEncode
Category: conditioning
Output node: False

The CLIPTextEncode node is designed to encode textual inputs using a CLIP model, transforming text into a form that can be utilized for conditioning in generative tasks. It abstracts the complexity of text tokenization and encoding, providing a streamlined interface for generating text-based conditioning vectors.

Input types

Parameter	Comfy dtype	Description
`text`	`STRING`	The 'text' parameter is the textual input that will be encoded. It plays a crucial role in determining the output conditioning vector, as it is the primary source of information for the encoding process.
`clip`	`CLIP`	The 'clip' parameter represents the CLIP model used for text tokenization and encoding. It is essential for converting the textual input into a conditioning vector, influencing the quality and relevance of the generated output.

Output types

Parameter	Comfy dtype	Description
`conditioning`	`CONDITIONING`	The output 'conditioning' is a vector representation of the input text, encoded by the CLIP model. It serves as a crucial component for guiding generative models in producing relevant and coherent outputs.