TextEncodeQwenImageEditPlus - ComfyUI Built-in Node Documentation

Complete documentation for the TextEncodeQwenImageEditPlus node in ComfyUI. Learn its inputs, outputs, parameters and usage.

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The TextEncodeQwenImageEditPlus node processes text prompts and optional images to generate conditioning data for image generation or editing tasks. It uses a specialized template to analyze input images and understand how text instructions should modify them, then encodes this information for use in subsequent generation steps. The node can handle up to three input images and optionally generate reference latents when a VAE is provided.

Inputs

Parameter	Data Type	Required	Range	Description
clip	CLIP	Yes	-	The CLIP model used for tokenization and encoding
prompt	STRING	Yes	-	Text instruction describing the desired image modification (supports multiline input and dynamic prompts)
vae	VAE	No	-	Optional VAE model for generating reference latents from input images
image1	IMAGE	No	-	First optional input image for analysis and modification
image2	IMAGE	No	-	Second optional input image for analysis and modification
image3	IMAGE	No	-	Third optional input image for analysis and modification

Note: When a VAE is provided, the node generates reference latents from all input images. The node can process up to three images simultaneously, and images are automatically resized to appropriate dimensions for processing.

Outputs

Output Name	Data Type	Description
CONDITIONING	CONDITIONING	Encoded conditioning data containing text tokens and optional reference latents for image generation