This node is designed for encoding images into a latent representation suitable for inpainting tasks, incorporating additional preprocessing steps to adjust the input image and mask for optimal encoding by the VAE model.

## Inputs

| Parameter | Description | Data Type |
| --- | --- | --- |
| `pixels` | The input image to be encoded. This image undergoes preprocessing and resizing to match the VAE model's expected input dimensions before encoding. | `IMAGE` |
| `vae` | The VAE model used for encoding the image into its latent representation. It plays a crucial role in the transformation process, determining the quality and characteristics of the output latent space. | VAE |
| `mask` | A mask indicating the regions of the input image to be inpainted. It is used to modify the image before encoding, ensuring that the VAE focuses on the relevant areas. | `MASK` |
| `grow_mask_by` | Specifies how much to expand the inpainting mask to ensure seamless transitions in the latent space. A larger value increases the area affected by inpainting. | `INT` |

## Outputs

| Parameter | Description | Data Type |
| --- | --- | --- |
| `latent` | The output includes the encoded latent representation of the image and a noise mask, both crucial for subsequent inpainting tasks. | `LATENT` |

> 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/VAEEncodeForInpaint/en.md)