Skip to main content
This node applies a style model to a given conditioning, enhancing or altering its style based on the output of a CLIP vision model. It integrates the style model’s conditioning into the existing conditioning, allowing for a seamless blend of styles in the generation process.

Inputs

Required

ParameterDescriptionComfy dtype
conditioningThe original conditioning data to which the style model’s conditioning will be applied. It’s crucial for defining the base context or style that will be enhanced or altered.CONDITIONING
style_modelThe style model used to generate new conditioning based on the CLIP vision model’s output. It plays a key role in defining the new style to be applied.STYLE_MODEL
clip_vision_outputThe output from a CLIP vision model, which is used by the style model to generate new conditioning. It provides the visual context necessary for style application.CLIP_VISION_OUTPUT

Outputs

ParameterDescriptionComfy dtype
conditioningThe enhanced or altered conditioning, incorporating the style model’s output. It represents the final, styled conditioning ready for further processing or generation.CONDITIONING
This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub