> ## Documentation Index
> Fetch the complete documentation index at: https://docs.comfy.org/llms.txt
> Use this file to discover all available pages before exploring further.

# InstructPixToPixConditioning - ComfyUI Built-in Node Documentation

> Complete documentation for the InstructPixToPixConditioning 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/InstructPixToPixConditioning/en.md)

The InstructPixToPixConditioning node prepares conditioning data for InstructPix2Pix image editing by combining positive and negative text prompts with image data. It processes input images through a VAE encoder to create latent representations and attaches these latents to both positive and negative conditioning data. The node automatically handles image dimensions by cropping to multiples of 8 pixels for compatibility with the VAE encoding process.

## Inputs

| Parameter  | Data Type    | Required | Range | Description                                                                                         |
| ---------- | ------------ | -------- | ----- | --------------------------------------------------------------------------------------------------- |
| `positive` | CONDITIONING | Yes      | -     | Positive conditioning data containing text prompts and settings for desired image characteristics   |
| `negative` | CONDITIONING | Yes      | -     | Negative conditioning data containing text prompts and settings for undesired image characteristics |
| `vae`      | VAE          | Yes      | -     | VAE model used for encoding input images into latent representations                                |
| `pixels`   | IMAGE        | Yes      | -     | Input image to be processed and encoded into latent space                                           |

**Note:** The input image dimensions are automatically adjusted by cropping to the nearest multiple of 8 pixels in both width and height to ensure compatibility with the VAE encoding process.

## Outputs

| Output Name | Data Type    | Description                                                          |
| ----------- | ------------ | -------------------------------------------------------------------- |
| `positive`  | CONDITIONING | Positive conditioning data with attached latent image representation |
| `negative`  | CONDITIONING | Negative conditioning data with attached latent image representation |
| `latent`    | LATENT       | Empty latent tensor with the same dimensions as the encoded image    |