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Handcrafted String Visualization Map

Handcrafted String Visualization Map

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Please create each photo I upload into an independent high-design poster, not a collage, each photo output individually. Overall, use {argument name="比例" default="3:4 vertical"} composition, with the upper and lower areas strictly 1:1 in height, each occupying 50% of the picture.

The upper part retains the original photo, maintaining the subject's identity, structure, posture, real texture, natural lighting, and original color atmosphere, only performing light high-end color grading to give it an art magazine, independent publication, and exhibition image texture. To fit the aspect ratio, the environmental background can be naturally expanded, but the subject must not be stretched, distorted, or changed.

The lower part extracts the most recognizable **subject, outline, structure, posture, and narrative relationship** from the photo, translating it into a real, touchable **{argument name="风格" default="Physical String-based Systems Map / Tangible Node-link Visualization"}**. Do not directly depict the original object; instead, break down the subject into a small number of meaningful nodes and relationships: key outlines, structural transitions, action directions, spatial positions, or environmental cues become pin-style Nodes, connected by real string as Edges / Links, making the visual relationships of the original photo reappear as a physical network while still vaguely recognizable as the original subject's identity and structure.

Composition uses a clear **core node or core relationship** as the visual hub, with other nodes naturally expanding around the subject structure. The string should not be randomly tangled but should establish relationships based on the original image's direction, proportion, distance, connection, and narrative logic; some nodes form radiation, aggregation, triangles, polygons, and cross-area connections, allowing a large number of simple relationships to naturally produce **emergent geometry**. The overall is both complex and orderly, with denser central relationships and gradually sparser outer areas, retaining sufficient negative space and avoiding filling the entire layout.

The material must have a real physical installation feel: use small pins, stitches, cotton thread or thin string, paper labels, handwritten traces, and real cardboard surfaces, retaining slight differences in string tension, node height, overlapping occlusion, stitch shadows, and manual errors. Overall, it should resemble an art-directed research wall, system design experiment, or information art installation, not a computer-drawn network diagram, and should not have cyber UI, digital glowing lines, or cheap detective board effects.

The string uses **vivid but restrained {argument name="线条色" default="vermilion, coral red, or warm red"}** as the main relationship color, forming visual tension in a large amount of natural white, warm white, light gray, or extremely light background coordinated with the upper photo's comprehensive color temperature; pins, paper tags, and a small number of marks can extract local feature colors from the upper photo for low-area echoes. The overall color is clean, modern, and vibrant, avoiding dark brown, dirty old, bloody horror feel, and excessive retro aging.

Text acts as **Hand-lettered Annotation** in the system, freely intervening without preset fixed titles, locations, years, or menu-style information. Based on the photo's subject, action, position, mood, relationship, or metaphor, freely generate a small number of keywords, short phrases, arrows, circles, or micro-explanations, and write them directly near nodes, string intersections, or blank areas. The font uses **fine, loose, slightly research-note-like and handwriting-deviation handwritten annotation font**, making the text seem like natural thought traces left during the observation process, while maintaining high-end editorial design restraint and readability.

Overall, it presents a high-end experimental visual composed of **physical nodes, red strings, relationship mapping, emergent geometry, handwritten annotations, and large blank spaces**. Regardless of whether the subject is a person, animal, plant, building, artifact, vehicle, natural landscape, or complex scene, it should further translate 'what it is' into 'how its parts relate to each other,' forming a tangible information visualization with a research feel, artistic sense, systematization, and manual warmth. Avoid random red lines, meaningless nodes, full-layout chaos, horror crime boards, digital network UI, cartoon pins, template mind maps, and ordinary flow charts.

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

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How to use this prompt

Copy the prompt and paste it into GPT Image 2. Keep the composition, lighting and style terms as written — they are what produced this result. Swap the subject or scene details to make it yours, keep the aspect ratio, and attach the reference images the prompt mentions if any. Regenerate two or three times; the strongest version is usually not the first.