CLIPTextEncodeHiDream - ComfyUI Built-in Node Documentation

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

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The CLIPTextEncodeHiDream node processes four separate text inputs using different language models (CLIP-L, CLIP-G, T5-XXL, and LLaMA) and combines them into a single conditioning output. It tokenizes each text input with its corresponding model and encodes them together using a scheduled encoding approach, enabling more sophisticated text conditioning by leveraging multiple language models simultaneously.

Inputs

Parameter	Data Type	Required	Range	Description
clip	CLIP	Yes	-	The CLIP model used for tokenization and encoding
clip_l	STRING	Yes	-	Text input for CLIP-L model processing. Supports multiline text and dynamic prompts.
clip_g	STRING	Yes	-	Text input for CLIP-G model processing. Supports multiline text and dynamic prompts.
t5xxl	STRING	Yes	-	Text input for T5-XXL model processing. Supports multiline text and dynamic prompts.
llama	STRING	Yes	-	Text input for LLaMA model processing. Supports multiline text and dynamic prompts.

Note: All four text inputs (clip_l, clip_g, t5xxl, and llama) are required for proper functioning, as each contributes to the final conditioning output through the scheduled encoding process.

Outputs

Output Name	Data Type	Description
CONDITIONING	CONDITIONING	The combined conditioning output from all processed text inputs, encoded using the scheduled encoding method

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