{ "prompt_name": "Lays_Spanish_Tomato_Tango_Explosion",...

curl -X POST https://runapi.ai/api/v1/gpt_image_2/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "gpt-image-2",
  "prompt": "{ \"master_prompt\": { \"global_settings\": { \"resolution\": \"8K ultra-high-definition\", \"aspect_ratio\": \"3:4 vertical\", \"style\": \"hyper-realistic AI-edited commercial product photography\", \"sharpness\": \"extreme clarity, micro-detail visibility\", \"lighting_quality\": \"cinematic studio lighting with controlled highlights and shadows\", \"motion_freeze\": \"high-speed capture, frozen splashes and particles\", \"noise\": \"none\", \"artifacts\": \"none\" }, \"module_1_image_1_style\": { \"subject\": { \"type\": \"plastic protein drink bottle\", \"color\": \"deep matte blue\", \"surface_details\": \"condensation droplets across entire bottle\", \"label_text_visible\": [ \"milk & yogurt\", \"mock up\", \"protein\", \"SEPARATED SHADOWS\" ] }, \"pose_and_orientation\": { \"position\": \"slightly tilted to the right\", \"angle\": \"three-quarter view\", \"motion_feel\": \"dynamic, leaning into splash\" }, \"liquid_and_motion\": { \"liquid_color\": \"white and light beige milk mixture\", \"texture\": \"smooth, creamy, fluid\", \"motion\": \"swirling splash rising around bottle base and sides\" }, \"floating_elements\": { \"blueberries\": \"whole and halved blueberries at different depths\", \"mint_leaves\": \"small green leaves with visible veins\", \"droplets\": \"milk droplets and spheres suspended mid-air\" }, \"background\": { \"color_gradient\": \"dark blue to warm amber\", \"bokeh\": \"soft circular light particles scattered throughout\" }, \"surface_and_reflection\": { \"base\": \"matte ground with light liquid pooling\", \"shadow_style\": \"soft separated shadow under bottle\" } }, \"module_2_image_2_style\": { \"subject\": { \"type\": \"metal coffee can\", \"color\": \"warm gold\", \"surface_details\": \"heavy condensation with visible droplets\", \"branding_text_visible\": [ \"NESCAFÉ\", \"Latte\", \"NEW LOOK\", \"ICED COFFEE WITH MILK\", \"SUGAR AND SWEETENER OPTIONAL\" ] }, \"pose_and_orientation\": { \"position\": \"upright, centered\", \"angle\": \"front-facing\", \"presence\": \"hero product stance\" }, \"liquid_and_motion\": { \"liquid_color\": \"coffee and milk blend\", \"motion\": \"splash erupting from base\", \"droplet_behavior\": \"fine droplets scattered outward\" }, \"floating_elements\": { \"coffee_beans\": \"whole roasted beans floating around can\", \"steam\": \"thick swirling steam rising upward\", \"embers\": \"tiny glowing particles in background\" }, \"background\": { \"color_palette\": \"deep brown, amber, gold\", \"atmosphere\": \"warm, smoky, intense\" }, \"surface_and_reflection\": { \"base\": \"wet surface with liquid splash crown\", \"reflection_quality\": \"subtle reflective highlights\" } }"
}
JSON

curl -X POST https://runapi.ai/api/v1/gpt_image_2/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "gpt-image-2",
  "prompt": "Low-angle fashion campaign photograph of a confident model holding a large [product name] very close to the camera, exaggerated perspective with the hand and product dominating the foreground, full-body pose visible in the background, wide stance, dynamic posture, clean pure white studio background, high-key lighting, sharp focus on product, slight depth of field on the model, bold colorful outfit with strong contrast tones, modern beauty advertising aesthetic, ultra-clean composition, commercial studio photography, glossy packaging detail visible, crisp shadows"
}
JSON

curl -X POST https://runapi.ai/api/v1/gpt_image_2/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "gpt-image-2",
  "prompt": "Create an infographic image of [LANDMARK], combining a real photograph of the landmark with blueprint-style technical annotations and diagrams overlaid on the image. Include the title “[LANDMARK]” in a hand-drawn box in the corner. Add white chalk-style sketches showing key structural data, important measurements, material quantities, internal diagrams, load-flow arrows, cross-sections, floor plans, and notable architectural or engineering features. Style: blueprint aesthetic with white line drawings on the photograph, technical/architectural annotation style, educational infographic feel, with the real environment visible behind the annotations."
}
JSON

curl -X POST https://runapi.ai/api/v1/gpt_image_2/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "gpt-image-2",
  "prompt": "请根据[主题]自动生成一张[博物馆图鉴式中文拆解信息图]。 要求整张图兼具真实写实主视觉、结构拆解、中文标注、材质说明、纹样寓意、色彩含义和核心特征总结。你需要根据[主题]自动判断最合适的主体对象、服饰体系、器物结构、时代风格、关键部件、材质工艺、颜色方案与版式结构，用户无需再提供其他信息。 整体风格应为：国家博物馆展板、历史服饰图鉴、文博专题信息图，而不是普通海报、古风写真、电商详情页或动漫插画。背景采用米白、绢纸白、浅茶色等纸张质感，整体高级、克制、专业、可收藏。 版式固定为： - 顶部：中文主标题 + 副标题 + 导语 - 左侧：结构拆解区，中文引线标注关键部件，并配局部特写 - 右上：材质 / 工艺 / 质感区，展示真实纹理小样并附说明 - 右中：纹样 / 色彩 / 寓意区，展示主色板、纹样样本和文化解释 - 底部：穿着顺序 / 构成流程图 + 核心特征总结 若主题适合人物展示，则以真实人物全身站姿为中央主体；若更适合器物或单体结构，则改为中心主体拆解图，但整体仍保持完整中文信息图形式。所有文字必须为简体中文，清晰、规整、可读，不要乱码、错字、英文或拼音。重点突出真实结构、材质差异、文化说明与图鉴气质。 避免：海报感、影楼感、电商感、动漫感、cosplay感、乱标注、错结构、糊字、假材质、过度装饰。"
}
JSON

curl -X POST https://runapi.ai/api/v1/gpt_image_2/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "gpt-image-2",
  "prompt": "生成一张[餐饮品牌触点矩阵]系列视觉图，用于展示一个完整的餐饮品牌视觉系统与包装应用方案。 这是一个面向餐饮行业的品牌VI样机展示板 / 包装系统陈列图 / 品牌提案页。画面不是单张宣传海报，而是将品牌主视觉、主打产品、包装物料、菜单信息、促销内容与小型延展物料整合成一张系统化品牌展示图。 【用户输入信息】 - 品牌名：[品牌名] - 经营类目：[经营类目] 【可选补充信息】 - 主打产品：[主打产品] - 品牌口号：[品牌口号] - 风格方向：[风格方向] - 主色调：[主色调] - 辅助色：[辅助色] - 客群定位：[客群定位] - 价格定位：[价格定位] - 地域风格：[地域风格] - 画幅比例：[画幅比例] 【自动补全规则】 如果用户没有提供完整品牌信息，请根据【品牌名】与【经营类目】自动推导并完成最优组合，包括： 1. 判断品牌调性（年轻、亲和、国潮、复古、清新、治愈、精致、快餐感等） 2. 匹配适合该类目的视觉风格 3. 自动设定合理的主色、辅助色与点缀色 4. 自动补全主打产品与辅助产品 5. 自动生成适合餐饮传播的品牌口号、卖点文案、价格信息与推荐标签 6. 自动匹配合适的餐饮物料类型与展示内容 【画面内容要求】 画面中应围绕【品牌名】构建一整套餐饮品牌物料系统，包含但不限于以下内容： - 核心包装：手提袋、外卖袋、包装盒、打包盒、纸袋、塑料袋 - 饮品 / 食品容器：纸杯、杯套、碗、餐盒、封口贴、标签 - 信息传播物料：菜单、促销海报、价格牌、桌牌、立牌、小卡片 - 小型品牌延展：贴纸、徽章、纸巾、餐具、包装封条、吊牌 - 产品表现：主打餐品照片、单品主视觉、食物特写、切面图、推荐组合图 【构图与版式要求】 采用竖版【画幅比例】构图，整体为白色、米白色或浅灰色背景，以品牌提案板 / 样机矩阵板的方式组织画面。 通过大中小物料混排形成视觉层级： - 大型包装和主视觉物料作为视觉锚点 - 中型菜单、海报和价格模块负责信息传达 - 小型贴纸、餐具、标签与周边物料增强系统完整度 整体构图应具有明确秩序感，接近品牌方案展示页、作品集陈列页、包装提案页的视觉效果。元素要排列整齐但不呆板，丰富但不杂乱，具有模块化与可阅读性。 【风格与质感要求】 整体风格应符合【经营类目】与【品牌名】气质，具有明显的餐饮品牌感、商业传播感、样机展示感与系统设计感。 可融合以下风格倾向：现代简洁、国潮趣味、轻复古、生活方式感、快消感、温暖治愈感、年轻化传播感。 材质真实，包含纸张、塑料、布袋、包装盒、杯体、贴纸、餐具等真实物料质感；光影柔和统一，像在干净摄影棚环境中拍摄的品牌物料合集。 【文字与图形要求】 所有物料上应统一出现品牌名、Logo、品牌符号、主色块、口号或卖点文案。 文案可为中文或中英混排，但要符合餐饮传播表达，简洁直接，具备商品售卖感。 图形系统可以根据品牌调性选择简洁插画、几何图形、卡通吉祥物、符号化图标或辅助纹样，用于增强品牌记忆点。 【输出目标】 最终生成一张完整的【品牌名】餐饮品牌视觉系统展示图，像设计团队为该餐饮品牌制作的整套品牌提案样机板。 要求画面统一、精致、具备商业落地感与作品集展示质量，并能清楚体现品牌风格、主打类目与多触点包装延展能力。 Make the aspect ratio 9:16"
}
JSON

curl -X POST https://runapi.ai/api/v1/gpt_image_2/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "gpt-image-2",
  "prompt": "{ \"global_settings\": { \"resolution\": \"8K ultra high definition\", \"aspect_ratio\": \"3:4\", \"camera_style\": \"studio food photography with cinematic lighting\", \"depth_of_field\": \"shallow depth of field, sharp subject, soft background\", \"lighting\": \"soft directional key light, subtle rim light, controlled highlights\", \"style\": \"hyper-realistic food illustration with editorial infographic overlays\", \"composition_rules\": [ \"no zoom\", \"no crop\", \"center-weighted vertical composition\", \"floating elements frozen in motion\" ], \"text_design\": { \"ingredient_name_color\": \"metallic gold\", \"ingredient_description_color\": \"pure white\", \"font_style\": \"elegant serif for titles, clean sans-serif for descriptions\", \"indicator_lines\": \"long, thin, smooth golden lines with rounded corners\" } }, \"module_1_image_1_style\": { \"scene_description\": \"A vertical stack of assorted cake slices floating above a white ceramic plate against a soft pink gradient background.\", \"background\": { \"color\": \"soft pastel pink\", \"texture\": \"smooth gradient\", \"lighting\": \"even, studio-lit, no harsh shadows\" }, \"main_subjects\": [ \"multiple layered sponge cake slices\", \"white whipped cream layers\", \"raspberry cream layer\", \"chocolate cream topping\" ], \"visible_ingredients\": [ \"vanilla sponge cake\", \"whipped cream\", \"raspberries\", \"blueberries\", \"strawberries\", \"macarons (vanilla and chocolate)\", \"chocolate bar pieces\", \"mint leaves\", \"small nut fragments\" ], \"motion_elements\": [ \"floating fruits\", \"floating macarons\", \"crumbs suspended in air\" ], \"text_labels\": [ \"Vanilla Cake – soft, fluffy sponge cake layered with white cream filling\", \"Macaron – creamy filling between almond meringue shells\", \"Raspberries – juicy, fresh raspberries\", \"Chocolate Bar – chunks of smooth milk chocolate\", \"Raspberry Cream – soft sponge cake layered with creamy, fruity raspberry cream\" ] }, \"module_2_image_2_style\": { \"scene_description\": \"Rolled Syrian dessert presented vertically with syrup pouring from above, placed in a warm, rustic kitchen environment.\", \"background\": { \"environment\": \"traditional kitchen\", \"elements\": [ \"warm lantern light\", \"wooden surfaces\", \"brass and copper utensils\" ], \"lighting\": \"warm ambient lighting with soft highlights\" }, \"main_subjects\": [ \"rolled white dessert dough\", \"cream filling spilling out\", \"golden syrup stream\" ], \"visible_ingredients\": [ \"white cheese dough\", \"cream filling\", \"pistachios\", \"sugar syrup\" ], \"motion_elements\": [ \"syrup dripping vertically\", \"pistachio crumbs falling\" ], \"text_labels\": [ \"White Cheese Dough – soft outer layer made from cheese and semolina\", \"Cream Filling – creamy filling inside the roll\", \"Pistachios – crushed pistachios sprinkled over and inside the rolls\" ] }"
}
JSON