Why this prompt works
It defines the core subject and headline, specifies typography style, lighting, texture, colors, and composition to guide the model toward a cinematic, high-contrast poster with strong readability.
Use this section when you need the complete GPT Image2 prompt wording, not just the summary. Review the structure, copy the full GPT Image2 prompt as-is, and then replace the subject, brand, style, or use case to fit your own workflow. This full GPT Image2 prompt block is the best place to study how the prompt is assembled before you test your own version. Treat this GPT Image2 prompt section as the source text you refine step by step.
{ "type": "technical infographic", "subject": "{argument name=\"subject matter\" default=\"digital photography process\"}", "header": { "title": "{argument name=\"main title\" default=\"一张照片诞生的因果链 THE CAUSAL CHAIN OF A PHOTOGRAPH\"}", "subtitle": "从世界,到图像 FROM WORLD TO IMAGE" }, "centerpiece": { "description": "Exploded isometric view of a modern mirrorless camera", "model": "{argument name=\"camera model\" default=\"Canon EOS R5\"}", "labeled_parts_count": 12, "labeled_parts": [ "EVF", "Body Structure", "Control Dials", "Thermal Design", "Optical Axis", "IBIS Stabilizer", "Shutter Unit", "Full-Frame Sensor", "{argument name=\"processor name\" default=\"DIGIC X Processor\"}", "Main PCB", "High-Speed Bus", "Card Slot" ] }, "layout": { "left_column": { "description": "Chronological causal chain", "count": 13, "steps": [ "01 REALITY EXISTS", "02 PHOTONS LEAVE THE WORLD", "03 LENS ACCEPTS & BENDS LIGHT", "04 APERTURE SELECTS", "05 SHUTTER CUTS TIME", "06 FOCUS SETS PRIORITY", "07 SENSOR RECEIVES EVENT", "08 LIGHT BECOMES CHARGE", "09 ANALOG READOUT", "10 A/D CONVERSION", "11 COMPUTATION RECONSTRUCTS", "12 IMAGE APPEARS", "13 MEMORY OUTLIVES" ] }, "right_column": { "title": "八大模块 / 8 MODULES", "count": 8, "modules": [ "1 ORIGIN OF LIGHT", "2 LENS SHAPES REALITY", "3 APERTURE & SHUTTER EDIT THE WORLD", "4 FOCUS DECIDES CLARITY", "5 SENSOR MEASURES LIGHT", "6 SIGNAL BORN & AMPLIFIED", "7 COMPUTATION BUILDS IMAGE", "8 FILE BECOMES MEMORY" ] }, "side_diagrams": { "count": 7, "descriptions": [ "Ray cone & image formation", "Aperture & depth of field", "Shutter & motion", "Focal plane & clarity", "Pixel structure", "Photoelectric conversion", "Analog signal waveform" ] }, "footer": { "count": 5, "description": "Philosophical summary points" } }, "style": "technical, precise, wireframe elements, glowing data lines, photorealistic camera components, clean typography, dual-language" }
It defines the core subject and headline, specifies typography style, lighting, texture, colors, and composition to guide the model toward a cinematic, high-contrast poster with strong readability.
Create a premium editorial poster for the headline "[TITLE]" with [TYPOGRAPHY STYLE], [LIGHTING STYLE], [COLOR PALETTE], [TEXTURE], [COMPOSITION], and [MOOD/ATMOSPHERE].
Use this GPT Image2 prompt as a working reference, not just a one-off sample. Keep the structure that already defines the output clearly, then replace the subject, typography, environment, campaign context, or aspect ratio to match your own goal. If you need more examples before rewriting the GPT Image2 prompt, go back to the Infographic category page or continue into the related prompts below. This GPT Image2 prompt workflow works best when you keep the original structure visible while you rewrite each key variable. A stable GPT Image2 prompt baseline usually makes revision work much faster.
Start by copying the full GPT Image2 prompt, then replace the subject, style language, and output goal with your own brief. Keep the visual structure if you want results in the same direction, and reuse the GPT Image2 prompt skeleton before you add brand-specific details. In practice, this GPT Image2 prompt works best when you change a small number of variables per iteration.
You can change the headline, product, mood, lighting, composition, typography, and end use while keeping the core GPT Image2 prompt logic that makes the example useful. In most cases, the best result comes from editing one GPT Image2 prompt variable at a time instead of rewriting everything at once. That keeps the GPT Image2 prompt structure stable while you test new creative directions.
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Explore more from the infographic collection to compare GPT Image2 prompt structures, visual directions, and reusable ideas that stay close to this example. Open another GPT Image2 prompt example if you want a nearby variation before rewriting your final version. That extra GPT Image2 prompt comparison step often helps you refine the final wording with less guesswork.