VAEEncodeForInpaint - ComfyUI Built-in Node Documentation - ComfyUI

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	Data Type	Description
`pixels`	`IMAGE`	The input image to be encoded. This image undergoes preprocessing and resizing to match the VAE model’s expected input dimensions before encoding.
`vae`	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.
`mask`	`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.
`grow_mask_by`	`INT`	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.

Outputs

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

SetLatentNoiseMask - ComfyUI Built-in Node Documentation

EmptyQwenImageLayeredLatentImage - ComfyUI Built-in Node Documentation