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The CLIPTextEncodeControlnet node processes a text prompt using a CLIP model and combines the resulting text encoding with existing conditioning data. It adds the text-derived embeddings to each conditioning entry as controlnet cross-attention parameters, producing enhanced conditioning output for controlnet applications.

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

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Source fingerprint (SHA-256): 95a798684ca8734bfff53c7b979b320f6834dc1a9553163d0e567243761000f1