CLIPTextEncodeHiDream - ComfyUI Built-in Node Documentation

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

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

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Outputs