Conditioning
ClipTextEncodeHunyuanDit - ComfyUI Built-in Node Documentation
The ClipTextEncodeHunyuanDit node is used to encode text prompts into HunyuanDiT-compatible conditioning embeddings.
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. |