ComfyUI Node: Mask Merge🐰

Mask Merge🐰:

The CyberEve_MaskMerge node is designed to seamlessly integrate processed images with their corresponding masks, allowing for the creation of composite images that blend original and modified content. This node is particularly useful in scenarios where you want to apply specific effects or modifications to certain areas of an image while preserving the rest. By leveraging the power of masks, CyberEve_MaskMerge ensures that only the desired portions of an image are altered, providing a high degree of control over the final output. This capability is essential for tasks such as image editing, artistic rendering, and any application where selective image processing is required. The node's primary function is to combine the processed images with their masks, ensuring that the final result maintains the integrity of the original image while incorporating the desired changes.

Mask Merge🐰 Input Parameters:

original_image

The original_image parameter is a required input that represents the base image to which the processed images and masks will be applied. This image serves as the foundation for the merging process, and its dimensions are used to ensure that the processed images and masks are correctly aligned. The original image is crucial as it provides the context and background for the modifications introduced by the processed images and masks.

processed_images

The processed_images parameter is an optional input that consists of the images that have undergone specific processing or modifications. These images are intended to be merged with the original image using the provided masks. The processed images should ideally match the dimensions of the original image to ensure a seamless integration. This parameter allows for the introduction of new elements or effects into the original image, guided by the masks.

Mask Merge🐰 Output Parameters:

result

The result parameter is the output of the CyberEve_MaskMerge node, representing the final composite image. This image is the result of blending the original image with the processed images according to the masks. The output maintains the original image's dimensions and channels, ensuring that the composite image is ready for further use or display. The result is a 4D tensor, which includes batch size, height, width, and color channels, providing a complete and integrated image that reflects the intended modifications.

Mask Merge🐰 Usage Tips:

• Ensure that the dimensions of the processed_images and masks match those of the original_image to avoid any alignment issues during the merging process.
• Use high-quality masks to achieve precise and accurate blending of the processed images with the original image, enhancing the overall quality of the composite image.

Mask Merge🐰 Common Errors and Solutions:

Output must be 4D [B,H,W,C]

• Explanation: This error occurs when the output of the node does not conform to the expected 4D tensor format, which includes batch size, height, width, and color channels.
• Solution: Verify that all input images and masks are correctly formatted and that their dimensions match. Ensure that the processed images and masks are properly aligned with the original image before merging.