Skip to main content
The CLIP Text Encode (Controlnet) node encodes a text prompt with a CLIP model and adds the resulting text encoding to existing conditioning data. It stores the text embeddings as controlnet cross-attention parameters inside each conditioning entry, so the returned conditioning carries that extra controlnet information.

Inputs

Note: All three inputs (clip, conditioning, and text) are required for this node to function. The text input supports multiline text and dynamic prompts for flexible text processing. This node is marked as experimental in the source code.

Outputs

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

Source fingerprint (SHA-256): 95a798684ca8734bfff53c7b979b320f6834dc1a9553163d0e567243761000f1