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CinePixel

Gadgetify

@Gdgtify

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10点赞419浏览2026年7月1日

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填写下列内容后，将自动带入匹配的模型工作区。

athlete必填sport必填

do this for carloancelotti select origin_to_summit from ascent_archive where subject = [Athlete] and sport = [Sport] and origin_world = ai_infer([Athlete Background], "the humble start — cracked concrete, makeshift goals, dirt track, dawn light, faded textures") and summit_world = ai_infer([Current Stage], "the grand arena — floodlights, crowd, saturated color, polished surfaces") and transition = ai_infer([Athlete], "how the two worlds blend at the center — a doorway, a horizon line, the kit changing from worn to pristine across the body") and composition = { bridge_layer: "the athlete spanning both worlds, mid-stride, gaze toward the summit", origin_layer: "the past as the lower/left — grounded, warm, gritty, smaller scale", summit_layer: "the present as the upper/right — vast, cool, luminous, towering", thread_layer: "one continuous element (a worn ball, a parent's hands, a road) connecting both" } and style = { mood: "earned, against-the-odds, dawn-to-floodlight", palette: "warm faded past meeting cold electric present" } and exclusions = ["no fairy-tale gloss — the origin must look real and hard", "the connecting thread must be unbroken", "don't romanticize poverty into a costume"];

输出详情

媒体类型: 图片提示词
任务类型: Text To Image
尺寸: 1199 × 675
画面比例: 1199:675

模型: other-image

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提示词详情：do this for carloancelotti select origin_to_summit from ascent_archive where subject = [Athlete]

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