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

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

> 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/TextEncodeQwenImageEdit/en.md)

The TextEncodeQwenImageEdit node processes text prompts and optional images to generate conditioning data for image generation or editing. It uses a CLIP model to tokenize the input and can optionally encode reference images using a VAE to create reference latents. When an image is provided, it automatically resizes the image to maintain consistent processing dimensions.

## Inputs

| Parameter | Data Type | Required | Range | Description                                                                           |
| --------- | --------- | -------- | ----- | ------------------------------------------------------------------------------------- |
| `clip`    | CLIP      | Yes      | -     | The CLIP model used for text and image tokenization                                   |
| `prompt`  | STRING    | Yes      | -     | Text prompt for conditioning generation, supports multiline input and dynamic prompts |
| `vae`     | VAE       | No       | -     | Optional VAE model for encoding reference images into latents                         |
| `image`   | IMAGE     | No       | -     | Optional input image for reference or editing purposes                                |

**Note:** When both `image` and `vae` are provided, the node encodes the image into reference latents and attaches them to the conditioning output. The image is automatically resized to maintain a consistent processing scale of approximately 1024x1024 pixels.

## Outputs

| Output Name    | Data Type    | Description                                                                                  |
| -------------- | ------------ | -------------------------------------------------------------------------------------------- |
| `CONDITIONING` | CONDITIONING | Conditioning data containing text tokens and optional reference latents for image generation |