18

配料合成食材
放大

示例图片

配料合成食材

提示词
Premium Chinese noodle restaurant food poster featuring deconstructed layers of Dan Dan Noodles / Spicy Sichuan Noodles floating in vertical stack on pure black background (#000000). Seven distinct layers from top to bottom with extra spacing before the final dish:\n\n1) Top layer: pile of bright red dried chili flakes and golden-brown Sichuan peppercorn powder\n\n2) Second layer: light yellow crushed peanuts and vibrant green chopped scallions scattered\n\n3) Third layer: coiled handmade alkaline noodles in pale yellow, showing clear texture and strands\n\n4) Fourth layer: yellow bean sprouts (yacai) and bright green peas scattered - these vegetables would be placed in the bowl first\n\n5) Fifth layer: transparent glass bowl filled with deep red spicy chili oil broth, floating chili pieces visible, glossy surface with reflections - this soup base is poured over the vegetables, so it appears BELOW the vegetables in the vertical stack\n\n6) Sixth layer: EMPTY SPACE - a larger gap with only subtle floating oil droplets, steam wisps, and small ingredient particles drifting down, creating visual separation and breathing room\n\n7) Bottom/Final layer (with significantly larger gap above): a complete finished Dan Dan Noodles dish in a traditional dark brown ceramic bowl, viewed from the same 45-degree angled perspective as all other layers above. The bowl contains all ingredients combined - pale yellow noodles coated in glossy red chili oil, topped with crushed peanuts, bright green chopped scallions, bean sprouts, peas, and red chili flakes sprinkled on top. The noodles look freshly mixed and glistening with oil, subtle steam rising. This finished bowl is at the same scale and viewing angle as the deconstructed ingredients above. The extra spacing above emphasizes this as the final result, creating a dramatic reveal of the transformation from separated components to complete dish.\n\nEach layer separated with gaps revealing textures and details. Layers 1-5 have normal spacing between them. Layer 6 is an intentional empty transition space with double or triple the normal gap distance. Layer 7 (finished dish) sits at the bottom with clear visual separation. Chinese and English bilingual labels with elegant arrows pointing to each component: "辣椒油&花椒粉 Chili Oil & Sichuan Pepper Powder", "麻辣风味 Numbing & Spicy Flavor", "花生碎&葱花 Crushed Peanuts & Scallions", "手工碱面 Handmade Noodles", "芽菜&豌豆 Yacai & Peas", "丰富配料 Rich Toppings", "红油汤底 Spicy Red Broth", "成品 Finished Dish".\n\nNO white pedestal, NO platform base. All layers float freely in space against pure black background. Dramatic studio lighting from 45-degree angle, rim lighting highlighting textures and glass bowl transparency. All layers including the finished bowl share identical lighting, perspective angle, and photorealistic quality. Subtle steam effects, oil droplets floating around layers, with more particles in the empty transition space. Star sparkle effect in bottom right corner near the finished dish. Dark moody aesthetic, luxurious commercial food photography style, ultra-realistic, highly detailed, professional restaurant advertising quality, 9:16 vertical format.
分类
真实摄影
模型
Unknown
来源作者
servasyy
原始语言
zh-CN
浏览量0
来源 ID
ingredients-synthesis
Studio

使用说明

关于「配料合成食材」

这条提示词适合做什么?

「配料合成食材」AI 图片提示词,适用于 Unknown,分类:真实摄影。Premium Chinese noodle restaurant food poster featuring deconstructed layers of Dan Dan Noodles / Spicy Sichuan Noodles fl…

页面上方提供可复制的完整提示词正文与示例效果图,适合直接用于 AI 图片生成或在 Picva 中一键同款。

如何使用这条提示词

  1. 步骤 1

    打开提示词详情

    查看「配料合成食材」的示例图、分类与完整 Prompt 文本。

  2. 步骤 2

    复制提示词

    一键复制页面中的提示词正文,或在 Studio 中直接带入。

  3. 步骤 3

    选择模型(Unknown)

    优先使用 Unknown;如切换其他模型,可保留主体与构图,微调风格词。

  4. 步骤 4

    生成并导出

    在 Picva 一键生成同款,或导出到你的工作流继续编辑发布。

常见问题

「配料合成食材」是什么提示词?
这是一条可用于 Unknown 的图片生成提示词,属于「真实摄影」分类。页面提供完整 Prompt 文本、示例效果图,以及在 Picva 中一键生成同款的入口。
如何使用这条提示词生成图片?
复制页面中的提示词,或点击一键生成 / Studio。可直接粘贴到支持的图像模型,也可在 Picva 中结合参考图生成同款视觉效果。
这条提示词适合哪个模型?
页面标注模型为 Unknown。多数描述型提示词也可迁移到 GPT Image、Flux、Midjourney 等相近图像模型,必要时微调风格与构图词。
可以商用吗?需要注意什么?
提示词文本通常可复制用于创作,但最终图片是否可商用取决于你使用的模型条款、参考图版权以及生成内容本身。请遵守来源作者与平台规则。