VAEEncodeForInpaint - ComfyUI Built-in Node Documentation

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`

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