CLIPTextEncodeHunyuanDiT - ComfyUI Built-in Node Documentation

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

This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub

The CLIPTextEncodeHunyuanDiT node converts text descriptions into a format that the HunyuanDiT model can understand. It is an advanced conditioning node designed for the dual text encoder architecture of HunyuanDiT, processing two separate text inputs through different tokenizers.

Inputs

Parameter	Data Type	Required	Range	Description
clip	CLIP	Yes	-	A CLIP model instance used for text tokenization and encoding, which is core to generating conditions.
bert	STRING	Yes	-	Text input for encoding via the BERT tokenizer. Prefers phrases and keywords. Supports multiline and dynamic prompts.
mt5xl	STRING	Yes	-	Text input for encoding via the mT5-XL tokenizer. Supports multiline and dynamic prompts (multilingual). Can use complete sentences and complex descriptions.

Outputs

Output Name	Data Type	Description
CONDITIONING	CONDITIONING	The encoded conditioning output, combining both BERT and mT5-XL tokenized text, used for further processing in generation tasks.

---

Source fingerprint (SHA-256): bde7c884f72829491090965bd9af34ad59ec326f96e88bb7cdb9ddc47592137e