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The CLIPTextEncodeControlnet node processes text input using a CLIP model and combines it with existing conditioning data to create enhanced conditioning output for controlnet applications. It tokenizes the input text, encodes it through the CLIP model, and adds the resulting embeddings to the provided conditioning data as cross-attention controlnet parameters.

Inputs

ParameterData TypeInput TypeDefaultRangeDescription
clipCLIPRequired--The CLIP model used for text tokenization and encoding
conditioningCONDITIONINGRequired--Existing conditioning data to be enhanced with controlnet parameters
textSTRINGMultiline, Dynamic Prompts--Text input to be processed by the CLIP model
Note: This node requires both clip and conditioning inputs to function properly. The text input supports dynamic prompts and multiline text for flexible text processing.

Outputs

Output NameData TypeDescription
CONDITIONINGCONDITIONINGEnhanced conditioning data with added controlnet cross-attention parameters