3D Isometric Block Art Reconstruction

Please create each uploaded photo into an independent high-design poster, without multi-image stitching, output each photo separately. Overall, use a 3:4 vertical composition, with the upper and lower areas strictly 1:1 in height, each occupying 50% of the image.

The upper part retains the original photo, maintaining the main structure, spatial relationships, realistic materials, natural lighting, and original color atmosphere, only applying slight high-end photography color grading to give it an artistic magazine, independent publication, and exhibition photography quality. To fit the aspect ratio, you can naturally extend the environmental background, but do not stretch, distort, or alter the subject.

The lower part extracts the most identifiable **subject, silhouette, posture, and narrative relationship** from the photo, and according to the logic of 'deconstruction—selection—extraction—reconstruction', transforms it into a **3D / isometric spatial {argument name="style" default="healing building block sculpture"}**. Focus on retaining the subject's most unique volume proportions, axes, curves, interleaving, layering, occlusion, and negative space, reorganizing with rounded, simple, tactile modular blocks; do not completely replicate details, but must be instantly recognizable as corresponding to the upper original image.

The composition is adaptively designed based on the subject's own visual center of gravity, posture direction, and spatial relationships, establishing rhythm through size blocks, high-low layering, front-back interleaving, partial suspension, density changes, and large areas of white space. Building blocks can be assembled, stacked, nested, traversed, or naturally offset, making the subject retain its identity while having a contemporary art toy-like sculptural feel and relaxed imagination, avoiding mechanical disassembly and simple pixelation.

**The color scheme must be analyzed and generated from the upper original image itself.** First, identify the most vital, most recognizable main color relationships in the photo, as well as overall color temperature, brightness levels, cool-warm echoes, and key accent colors, then recalibrate these colors into a softer, clearer, brighter, and more airy healing color system. Retain the original image's color identity and emotional memory, but appropriately increase brightness, reduce harsh contrasts, and purify gray dirt colors, making the colors appear gentle, childlike, light, and high-end. Different photos should naturally obtain different color schemes, not using any preset color cards, and not forcibly adding colors not present in the original image for 'healing feeling'.

Colors establish rhythm through **main color area, auxiliary color layers, same-source shades, and minimal vibrant accent colors**, making the subject appear rich but not cluttered, cute but not sweet, gentle but with spirit. Building block materials use fine matte, soft diffuse reflection textures, with a slight paper pulp, wooden, pastel, or flexible material-like tactile feel, rounded edges, soft shadows, avoiding plastic highlights, metallic feel, heavy CG, and cheap toy quality.

Text establishes a light high-end editorial micro-typography system, extracting a {argument name="word count" default="2–5 words"} title from the photo's light, action, space, emotion, or symbolic meaning, accompanied by a minimal amount of status words, locations, numbering, direction words, or micro-annotations, without using years. Text can be arranged along building block edges, module gaps, visual axes, or negative space, or form interleaving, occlusion, and alignment with the blocks, making text naturally part of the building block composition.

Overall, it presents a visual temperament of **real photography × {argument name="core element" default="healing building blocks"} × isometric space × original image color translation × high-end editorial design**, gentle, light, childlike, quiet, exquisite, imaginative but not childish.

Machine-translated — the original is what produced this result.

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