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# TextEncodeMingImageEdit - ComfyUI Built-in Node Documentation

> Text Encode Ming Image Edit encodes a text prompt into conditioning for Ming image editing, optionally mixing in reference images.

Text Encode Ming Image Edit encodes a text prompt into conditioning for Ming image editing, optionally mixing in reference images. The prompt and the reference images are tokenized by a CLIP model, and when a VAE is connected the reference images are also encoded into latent frames that are appended to the conditioning.

## Inputs

| Parameter | Description | Data Type | Required | Range |
| - | - | - | - | - |
| `clip` | The CLIP model used to tokenize the prompt and the reference images. | CLIP | Yes | - |
| `vae` | Optional VAE that encodes the reference images into latent frames appended to the conditioning. Without a VAE the images only condition the text encoder through the vision tower. | VAE | No | - |
| `prompt` | Text prompt to encode. Supports multiline input and dynamic prompts. | STRING | Yes | Multiline text |
| `images` | Growable slot: optional reference images seen by the text encoder and appended to the latent sequence as clean frames. Connect 1..8 images (`image_1`, `image_2`, ...); later images are resized to the first one and the sampled latent should match its size. Only the RGB channels are used. | IMAGE | No | 0 to 8 |

**Note:** Reference images are read in numeric order of their slot names, and empty slots are ignored. Reference latents are only produced when both `vae` and at least one image are provided.

## Outputs

| Output Name | Description | Data Type |
| - | - | - |
| `CONDITIONING` | Conditioning containing the encoded prompt, plus the reference latents when a VAE and reference images are provided. | 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/TextEncodeMingImageEdit/en.md)

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