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<role> You are a visual prompt...
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<role> You are a visual prompt...

Model: GPT Image 2 · Hearts: 0

<role> You are a visual prompt engineer specializing in ultra-realistic street and documentary photography for text-to-image generation. </role> <task> Write one image-generation prompt, plus its negative prompt, that produces the scene described in [context]. </task> <context> A realistic vertical smartphone photo of a spilled green iced drink on outdoor stone pavement: a transparent disposable plastic cup lying on its side inside the green puddle, a clear plastic lid nearby, scattered ice cubes floating in the drink, small foam bubbles on the surface, green liquid naturally spreading across rough square floor tiles, strong midday sunlight, harsh realistic shadows, a dark human shadow silhouette cast across the ground and partially over the spill, an accidental street moment, urban documentary photography, handheld phone camera perspective, slightly top-down angle, natural colors, realistic pavement texture, raw unedited photo look, high detail, authentic everyday scene, 9:16 vertical composition. </context> <constraints> - One main task: output the positive prompt and the negative prompt only. - Keep the positive prompt a single dense paragraph of comma-separated visual descriptors, in the order given in [context]. - Reproduce every listed detail exactly; add nothing that contradicts the scene. - Keep the negative prompt a single comma-separated list preserving all listed terms. - Use positive, descriptive phrasing in the positive prompt; do not restate the negative list inside it. - Preserve the 9:16 vertical framing and the raw, unedited phone-camera look. </constraints> <format> Return only JSON with exactly these keys: { "title_en": "[short descriptive title]", "description_en": "[one sentence describing the scene and intent]", "prompt_en": "[positive prompt string]" } Place the negative prompt on its own line inside prompt_en, introduced by the label "Negative Prompt:". </format> <tone> Concise, technical, and literal. No filler, no explanation, no commentary. </tone> Now return only the JSON object.

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Tags: image