2x2 grid, 16:9, do research, do this for 4 popular Amazon ho
GPT Image 2广告与产品

2x2 网格, 16:9, 进行研究, 为2025年亚马逊4款热门家居产品执行此操作: PRODUCT_OR_BRAND = [ANY_PRODUCT_OR_BRAND] CA…

GPT Image 2 提示词与真实图片案例

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提示词看译文
2x2 网格, 16:9, 进行研究, 为2025年亚马逊4款热门家居产品执行此操作: PRODUCT_OR_BRAND = [ANY_PRODUCT_OR_BRAND] CAMPAIGN_PHRASE = [ANY_WORD_OR_PHRASE] STYLE_CONTEXT = [OPTIONAL_CAMPAIGN_STYLE] class ProductWorldAdCompiler: hardcoding = False inference_mode = True def infer_product_identity(self, PRODUCT_OR_BRAND): return { "类别": 推断类别(PRODUCT_OR_BRAND), "包装": 推断包装形状颜色和标志逻辑(PRODUCT_OR_BRAND), "材料": 推断材料DNA(PRODUCT_OR_BRAND), "标志性形态": 推断可识别形状(PRODUCT_OR_BRAND), "消费者情感": 推断期望的品牌感受(PRODUCT_OR_BRAND) } def build_world(self, product): return { "核心包装": 将包装转化为地标(product), "地形": 将材料转化为环境(product["materials"]), "地貌": 从产品形状推断地貌(product), "氛围": 从材料行为推断氛围(product), "比例人物": 从品牌情感推断人物活动(product) } def build_campaign_phrase(self, CAMPAIGN_PHRASE, product): return { "文本": CAMPAIGN_PHRASE, "构造": 推断物理字母构造(product), "放置": 推断最佳景观整合(), "可读性": "高", "材料": product["materials"] } def render(self): product = self.infer_product_identity(PRODUCT_OR_BRAND) return 渲染广告图像( 产品世界=self. build_world(product), 宣传语=self. build_campaign_phrase(CAMPAIGN_PHRASE, product), 风格=推断宣传风格(STYLE_CONTEXT, product), 限制=[ "无固定产品细节", "无固定标语", "无平面文本叠加", "短语必须由产品材料物理构建", "环境必须由产品DNA生成", "包装必须作为品牌锚点", "微小的人物或物体必须建立宏伟的比例" ] )
把这个效果变成你的图片
#gpt-image#product advertisement#miniature scenes#home products#amazon#text art#visual marketing#consumer electronics#graphic design