AI-generated Images of very

in the foreground, there is a wooden cross on their left side with text attached, to the right of the cross's cross-beam, there are three small round objects placed on the cross-beam, white text on one of the edges reads "everybody's welcome", below is another line of text about newer sections of text.

white marble, the background is partially visible at the top and bottom edges of the image, multiple sections are arranged in two vertical columns, each column has small overlapping stones, many small particles or scratches are seen throughout the surface, some areas have rougher texture while others have a more jagged appearance, the left column shows slightly larger stones than the right column, all elements are evenly spaced, no other objects present in the image

a close-up photograph of the following sections, featuring two pairs of gray sneakers with red undersides, one pair over a yellow rubber sneakers, both sneakers have white stripes on their sides, brown socks are partially visible and slightly frayed in the center, each shoe pair has a metallic finish, all items are placed outdoors, some small green plants are barely visible behind the shoes, prominent shadows cast by the boots create depth.

two "adison's signature" in the top left corner, attached by a red and white label with green text but details is not clearly visible, adds depth to the image, at the top of the first line there is black text and some small figures suggesting it's a macro photograph, the second line also has similar detail but more emphasis on the following line, the third line runs horizontally across the sixth line, all text is capitalized and hand-written, adding to the overall atmosphere.

close-up of a large number of blue dots across a white background, several numbers are present in the top center of the image, including "23" and other numerical labels, the lines are neatly arranged, creating a grid pattern against the whole image, each number is separated by long black lines, there is text at the bottom left showing some events or training, the edges are slightly out of focus due to shallow depth of field.