CLIPTextEncodeHunyuanDiT - ComfyUI Built-in Node Documentation

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

The CLIPTextEncodeHunyuanDiT node’s main function is to convert input text into a form that the model can understand. It is an advanced conditioning node specifically designed for the dual text encoder architecture of the HunyuanDiT model. Its primary role is like a translator, converting our text descriptions into “machine language” that the AI model can understand. The bert and mt5xl inputs prefer different types of prompt inputs.

Inputs

Parameter	Data Type	Description
clip	CLIP	A CLIP model instance used for text tokenization and encoding, which is core to generating conditions.
bert	STRING	Text input for encoding, prefers phrases and keywords, supports multiline and dynamic prompts.
mt5xl	STRING	Another text input for encoding, supports multiline and dynamic prompts (multilingual), can use complete sentences and complex descriptions.

Outputs

Parameter	Data Type	Description
CONDITIONING	CONDITIONING	The encoded conditional output used for further processing in generation tasks.