ComfyUI Node: Scaled paste unsafe v4.7.3

Scaled paste unsafe v4.7.3:

The tri3d-scaled-paste_unsafe node is designed to facilitate the seamless integration of a foreground image onto a background image, with the added capability of scaling and adjusting the height of the foreground. This node is particularly useful for AI artists looking to create composite images where the foreground needs to be resized or repositioned relative to the background. The process involves using a mask to define the area of the foreground that should be visible, allowing for precise control over the blending of the two images. The node's primary function is to resize the background image based on specified scaling factors and then overlay the foreground image, ensuring that the final composition maintains the desired proportions and alignment. This method is beneficial for creating visually appealing composites where the foreground and background need to be harmoniously integrated.

Scaled paste unsafe v4.7.3 Input Parameters:

image_background

The image_background parameter represents the base image onto which the foreground will be pasted. It is crucial as it serves as the canvas for the composite image. The size and resolution of this image will influence the final output, especially when scaling factors are applied. There are no specific minimum or maximum values, but it should be a valid image array.

image_foreground

The image_foreground parameter is the image that will be overlaid onto the background. This image is subject to scaling and height adjustments based on the provided factors. The clarity and detail of this image are important as they directly affect the quality of the composite. Like the background, it should be a valid image array.

mask_foreground

The mask_foreground parameter is a grayscale mask that defines the visible areas of the foreground image. It is used to blend the foreground with the background, allowing for smooth transitions and precise control over which parts of the foreground are visible. The mask should be a float32 array with values ranging from 0 to 1, where 1 represents full visibility.

scale_factor

The scale_factor parameter determines the degree to which the background image is resized before the foreground is pasted. This factor affects the overall size of the composite image and can be adjusted to ensure that the foreground fits well within the background. The value should be a positive float, with a default value typically set to 1.0 for no scaling.

height_factor

The height_factor parameter adjusts the height of the foreground image relative to its original size. This allows for fine-tuning of the vertical alignment and proportion of the foreground within the composite. The value should be a positive float, with a default value of 1.2, indicating a slight increase in height.

Scaled paste unsafe v4.7.3 Output Parameters:

image_output

The image_output parameter is the final composite image resulting from the scaled paste operation. It combines the background and foreground images according to the specified scaling and height factors, with the mask ensuring proper blending. This output is crucial for AI artists as it represents the completed visual composition, ready for further processing or final use.

Scaled paste unsafe v4.7.3 Usage Tips:

• Ensure that the mask_foreground is accurately defined to achieve the best blending results between the foreground and background images.
• Experiment with different scale_factor and height_factor values to find the optimal size and alignment for your specific artistic needs.

Scaled paste unsafe v4.7.3 Common Errors and Solutions:

"Image dimensions mismatch"

• Explanation: This error occurs when the dimensions of the background and foreground images do not align properly for the paste operation.
• Solution: Verify that both images are correctly sized and consider adjusting the scale_factor or height_factor to ensure compatibility.

"Invalid mask format"

• Explanation: This error indicates that the mask is not in the expected float32 format or its values are not within the 0 to 1 range.
• Solution: Ensure the mask is a grayscale image with float32 data type and normalize its values to be between 0 and 1.