> ## Documentation Index
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# TextEncodeQwenImageEditPlus - ComfyUI Built-in Node Documentation

> The TextEncodeQwenImageEditPlus node processes text prompts and optional images to generate conditioning data for image generation or editing tasks.

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

**Note:** When a VAE is provided, the node generates reference latents from all provided input images. Up to three images can be processed at once. Images are scaled to a target area of 384x384 pixels (aspect ratio preserved) for vision-language processing, and to dimensions divisible by 8 (with a target area of 1024x1024 pixels) for VAE encoding.

## Outputs

| Output Name    | Description                                                                                          | Data Type    |
| -------------- | ---------------------------------------------------------------------------------------------------- | ------------ |
| `CONDITIONING` | Encoded conditioning data containing text tokens and optional reference latents for image 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](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeQwenImageEditPlus/en.md)

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