PROMPT DETAIL

Ultra-high-resolution 8K cinematic commercial food advertise...

Image Food & Drink gpt-image-2 
Ultra-high-resolution 8K cinematic commercial food advertisement of **[BRAND NAME] instant noodles**, vertical 3:4 aspect ratio. A bold hero composition featuring the **[BRAND NAME] noodle packet** floating in the upper frame, front-facing and perfectly lit, with crisp edges, realistic packaging texture, and clear branding. Below it, a steaming bowl branded with **[BRAND NAME]**, filled with glossy, curly noodles lifted dramatically mid-air using chopsticks, noodles stretching naturally under gravity. Noodles appear richly coated in **[FLAVOR / SAUCE TYPE]**, with visible ingredients such as **[VEGETABLES / CHILIES / GARNISH]** suspended mid-air around the bowl. Steam rises dynamically, interacting with floating spice particles and food fragments. Background is a **completely new cinematic environment** (not copied from reference), abstract and high-energy, filled with swirling flames, sparks, embers, smoke, and motion blur, creating depth and intensity while keeping the food in sharp focus. Lighting is premium studio cinematic lighting: warm golden key light, soft fill light, strong rim light outlining the packet and noodles, high contrast with glowing highlights and deep shadows. Color palette dominated by **[PRIMARY BRAND COLORS]**, enhanced with warm orange-gold food tones and contrasting greens from vegetables. Hyper-realistic textures on noodles, sauce, packaging, and bowl. Shallow depth of field, dramatic bokeh in background, extreme sharpness on hero elements, photorealistic yet stylized for advertising impact. Mood: bold, energetic, spicy, indulgent, mouth-watering, premium commercial look. No people, no clutter, no copied backgrounds. Designed for high-impact food advertising, posters, and social media hero visuals. [BRAND NAME] → Maggi [FLAVOR / SAUCE TYPE] → spicy masala [PRIMARY BRAND COLORS] → yellow and red
gpt-image-2 /api/v1/gpt_image_2/text_to_image
RUN DETAILS
Model
gpt-image-2
Provider
OpenAI
Service
Gpt Image 2
Endpoint
Text To Image
1. claude mcp add runapi -s user -- npx -y @runapi.ai/mcp
2. Restart Claude Code
3. Paste this prompt: Generate an image: "Ultra-high-resolution 8K cinematic commercial food advertisement of **[BRAND NAME] instant noodles**, vertical 3:4 aspect ratio. A bold hero composition featuring the **[BRAND NAME] noodle packet** floating in the upper frame, front-facing and perfectly lit, with crisp edges, realistic packaging texture, and clear branding. Below it, a steaming bowl branded with **[BRAND NAME]**, filled with glossy, curly noodles lifted dramatically mid-air using chopsticks, noodles stretching naturally under gravity. Noodles appear richly coated in **[FLAVOR / SAUCE TYPE]**, with visible ingredients such as **[VEGETABLES / CHILIES / GARNISH]** suspended mid-air around the bowl. Steam rises dynamically, interacting with floating spice particles and food fragments. Background is a **completely new cinematic environment** (not copied from reference), abstract and high-energy, filled with swirling flames, sparks, embers, smoke, and motion blur, creating depth and intensity while keeping the food in sharp focus. Lighting is premium studio cinematic lighting: warm golden key light, soft fill light, strong rim light outlining the packet and noodles, high contrast with glowing highlights and deep shadows. Color palette dominated by **[PRIMARY BRAND COLORS]**, enhanced with warm orange-gold food tones and contrasting greens from vegetables. Hyper-realistic textures on noodles, sauce, packaging, and bowl. Shallow depth of field, dramatic bokeh in background, extreme sharpness on hero elements, photorealistic yet stylized for advertising impact. Mood: bold, energetic, spicy, indulgent, mouth-watering, premium commercial look. No people, no clutter, no copied backgrounds. Designed for high-impact food advertising, posters, and social media hero visuals. [BRAND NAME] → Maggi [FLAVOR / SAUCE TYPE] → spicy masala [PRIMARY BRAND COLORS] → yellow and red"
1. codex plugin install runapi-mcp@agents
2. Restart Codex
3. Paste this prompt: Generate an image: "Ultra-high-resolution 8K cinematic commercial food advertisement of **[BRAND NAME] instant noodles**, vertical 3:4 aspect ratio. A bold hero composition featuring the **[BRAND NAME] noodle packet** floating in the upper frame, front-facing and perfectly lit, with crisp edges, realistic packaging texture, and clear branding. Below it, a steaming bowl branded with **[BRAND NAME]**, filled with glossy, curly noodles lifted dramatically mid-air using chopsticks, noodles stretching naturally under gravity. Noodles appear richly coated in **[FLAVOR / SAUCE TYPE]**, with visible ingredients such as **[VEGETABLES / CHILIES / GARNISH]** suspended mid-air around the bowl. Steam rises dynamically, interacting with floating spice particles and food fragments. Background is a **completely new cinematic environment** (not copied from reference), abstract and high-energy, filled with swirling flames, sparks, embers, smoke, and motion blur, creating depth and intensity while keeping the food in sharp focus. Lighting is premium studio cinematic lighting: warm golden key light, soft fill light, strong rim light outlining the packet and noodles, high contrast with glowing highlights and deep shadows. Color palette dominated by **[PRIMARY BRAND COLORS]**, enhanced with warm orange-gold food tones and contrasting greens from vegetables. Hyper-realistic textures on noodles, sauce, packaging, and bowl. Shallow depth of field, dramatic bokeh in background, extreme sharpness on hero elements, photorealistic yet stylized for advertising impact. Mood: bold, energetic, spicy, indulgent, mouth-watering, premium commercial look. No people, no clutter, no copied backgrounds. Designed for high-impact food advertising, posters, and social media hero visuals. [BRAND NAME] → Maggi [FLAVOR / SAUCE TYPE] → spicy masala [PRIMARY BRAND COLORS] → yellow and red"
1. npx @runapi.ai/mcp init cursor
2. Restart Cursor
3. Paste this prompt: Generate an image: "Ultra-high-resolution 8K cinematic commercial food advertisement of **[BRAND NAME] instant noodles**, vertical 3:4 aspect ratio. A bold hero composition featuring the **[BRAND NAME] noodle packet** floating in the upper frame, front-facing and perfectly lit, with crisp edges, realistic packaging texture, and clear branding. Below it, a steaming bowl branded with **[BRAND NAME]**, filled with glossy, curly noodles lifted dramatically mid-air using chopsticks, noodles stretching naturally under gravity. Noodles appear richly coated in **[FLAVOR / SAUCE TYPE]**, with visible ingredients such as **[VEGETABLES / CHILIES / GARNISH]** suspended mid-air around the bowl. Steam rises dynamically, interacting with floating spice particles and food fragments. Background is a **completely new cinematic environment** (not copied from reference), abstract and high-energy, filled with swirling flames, sparks, embers, smoke, and motion blur, creating depth and intensity while keeping the food in sharp focus. Lighting is premium studio cinematic lighting: warm golden key light, soft fill light, strong rim light outlining the packet and noodles, high contrast with glowing highlights and deep shadows. Color palette dominated by **[PRIMARY BRAND COLORS]**, enhanced with warm orange-gold food tones and contrasting greens from vegetables. Hyper-realistic textures on noodles, sauce, packaging, and bowl. Shallow depth of field, dramatic bokeh in background, extreme sharpness on hero elements, photorealistic yet stylized for advertising impact. Mood: bold, energetic, spicy, indulgent, mouth-watering, premium commercial look. No people, no clutter, no copied backgrounds. Designed for high-impact food advertising, posters, and social media hero visuals. [BRAND NAME] → Maggi [FLAVOR / SAUCE TYPE] → spicy masala [PRIMARY BRAND COLORS] → yellow and red"
1. npx @runapi.ai/mcp init windsurf
2. Restart Windsurf
3. Paste this prompt: Generate an image: "Ultra-high-resolution 8K cinematic commercial food advertisement of **[BRAND NAME] instant noodles**, vertical 3:4 aspect ratio. A bold hero composition featuring the **[BRAND NAME] noodle packet** floating in the upper frame, front-facing and perfectly lit, with crisp edges, realistic packaging texture, and clear branding. Below it, a steaming bowl branded with **[BRAND NAME]**, filled with glossy, curly noodles lifted dramatically mid-air using chopsticks, noodles stretching naturally under gravity. Noodles appear richly coated in **[FLAVOR / SAUCE TYPE]**, with visible ingredients such as **[VEGETABLES / CHILIES / GARNISH]** suspended mid-air around the bowl. Steam rises dynamically, interacting with floating spice particles and food fragments. Background is a **completely new cinematic environment** (not copied from reference), abstract and high-energy, filled with swirling flames, sparks, embers, smoke, and motion blur, creating depth and intensity while keeping the food in sharp focus. Lighting is premium studio cinematic lighting: warm golden key light, soft fill light, strong rim light outlining the packet and noodles, high contrast with glowing highlights and deep shadows. Color palette dominated by **[PRIMARY BRAND COLORS]**, enhanced with warm orange-gold food tones and contrasting greens from vegetables. Hyper-realistic textures on noodles, sauce, packaging, and bowl. Shallow depth of field, dramatic bokeh in background, extreme sharpness on hero elements, photorealistic yet stylized for advertising impact. Mood: bold, energetic, spicy, indulgent, mouth-watering, premium commercial look. No people, no clutter, no copied backgrounds. Designed for high-impact food advertising, posters, and social media hero visuals. [BRAND NAME] → Maggi [FLAVOR / SAUCE TYPE] → spicy masala [PRIMARY BRAND COLORS] → yellow and red"
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": "Ultra-high-resolution 8K cinematic commercial food advertisement of **[BRAND NAME] instant noodles**, vertical 3:4 aspect ratio. A bold hero composition featuring the **[BRAND NAME] noodle packet** floating in the upper frame, front-facing and perfectly lit, with crisp edges, realistic packaging texture, and clear branding. Below it, a steaming bowl branded with **[BRAND NAME]**, filled with glossy, curly noodles lifted dramatically mid-air using chopsticks, noodles stretching naturally under gravity. Noodles appear richly coated in **[FLAVOR / SAUCE TYPE]**, with visible ingredients such as **[VEGETABLES / CHILIES / GARNISH]** suspended mid-air around the bowl. Steam rises dynamically, interacting with floating spice particles and food fragments. Background is a **completely new cinematic environment** (not copied from reference), abstract and high-energy, filled with swirling flames, sparks, embers, smoke, and motion blur, creating depth and intensity while keeping the food in sharp focus. Lighting is premium studio cinematic lighting: warm golden key light, soft fill light, strong rim light outlining the packet and noodles, high contrast with glowing highlights and deep shadows. Color palette dominated by **[PRIMARY BRAND COLORS]**, enhanced with warm orange-gold food tones and contrasting greens from vegetables. Hyper-realistic textures on noodles, sauce, packaging, and bowl. Shallow depth of field, dramatic bokeh in background, extreme sharpness on hero elements, photorealistic yet stylized for advertising impact. Mood: bold, energetic, spicy, indulgent, mouth-watering, premium commercial look. No people, no clutter, no copied backgrounds. Designed for high-impact food advertising, posters, and social media hero visuals. [BRAND NAME] → Maggi [FLAVOR / SAUCE TYPE] → spicy masala [PRIMARY BRAND COLORS] → yellow and red"
}
JSON
import { GptImage2Client } from "@runapi.ai/gpt-image-2";

const client = new GptImage2Client({
  apiKey: process.env.RUNAPI_API_KEY,
});

const result = await client.textToImage.run({
  "model": "gpt-image-2",
  "prompt": "Ultra-high-resolution 8K cinematic commercial food advertisement of **[BRAND NAME] instant noodles**, vertical 3:4 aspect ratio. A bold hero composition featuring the **[BRAND NAME] noodle packet** floating in the upper frame, front-facing and perfectly lit, with crisp edges, realistic packaging texture, and clear branding. Below it, a steaming bowl branded with **[BRAND NAME]**, filled with glossy, curly noodles lifted dramatically mid-air using chopsticks, noodles stretching naturally under gravity. Noodles appear richly coated in **[FLAVOR / SAUCE TYPE]**, with visible ingredients such as **[VEGETABLES / CHILIES / GARNISH]** suspended mid-air around the bowl. Steam rises dynamically, interacting with floating spice particles and food fragments. Background is a **completely new cinematic environment** (not copied from reference), abstract and high-energy, filled with swirling flames, sparks, embers, smoke, and motion blur, creating depth and intensity while keeping the food in sharp focus. Lighting is premium studio cinematic lighting: warm golden key light, soft fill light, strong rim light outlining the packet and noodles, high contrast with glowing highlights and deep shadows. Color palette dominated by **[PRIMARY BRAND COLORS]**, enhanced with warm orange-gold food tones and contrasting greens from vegetables. Hyper-realistic textures on noodles, sauce, packaging, and bowl. Shallow depth of field, dramatic bokeh in background, extreme sharpness on hero elements, photorealistic yet stylized for advertising impact. Mood: bold, energetic, spicy, indulgent, mouth-watering, premium commercial look. No people, no clutter, no copied backgrounds. Designed for high-impact food advertising, posters, and social media hero visuals. [BRAND NAME] → Maggi [FLAVOR / SAUCE TYPE] → spicy masala [PRIMARY BRAND COLORS] → yellow and red"
});
console.log(result.id);
require "runapi/gpt_image_2"

client = RunApi::GptImage2::Client.new
result = client.text_to_image.run(
  model: "gpt-image-2",
  prompt: "Ultra-high-resolution 8K cinematic commercial food advertisement of **[BRAND NAME] instant noodles**, vertical 3:4 aspect ratio. A bold hero composition featuring the **[BRAND NAME] noodle packet** floating in the upper frame, front-facing and perfectly lit, with crisp edges, realistic packaging texture, and clear branding. Below it, a steaming bowl branded with **[BRAND NAME]**, filled with glossy, curly noodles lifted dramatically mid-air using chopsticks, noodles stretching naturally under gravity. Noodles appear richly coated in **[FLAVOR / SAUCE TYPE]**, with visible ingredients such as **[VEGETABLES / CHILIES / GARNISH]** suspended mid-air around the bowl. Steam rises dynamically, interacting with floating spice particles and food fragments. Background is a **completely new cinematic environment** (not copied from reference), abstract and high-energy, filled with swirling flames, sparks, embers, smoke, and motion blur, creating depth and intensity while keeping the food in sharp focus. Lighting is premium studio cinematic lighting: warm golden key light, soft fill light, strong rim light outlining the packet and noodles, high contrast with glowing highlights and deep shadows. Color palette dominated by **[PRIMARY BRAND COLORS]**, enhanced with warm orange-gold food tones and contrasting greens from vegetables. Hyper-realistic textures on noodles, sauce, packaging, and bowl. Shallow depth of field, dramatic bokeh in background, extreme sharpness on hero elements, photorealistic yet stylized for advertising impact. Mood: bold, energetic, spicy, indulgent, mouth-watering, premium commercial look. No people, no clutter, no copied backgrounds. Designed for high-impact food advertising, posters, and social media hero visuals. [BRAND NAME] → Maggi [FLAVOR / SAUCE TYPE] → spicy masala [PRIMARY BRAND COLORS] → yellow and red"
)
puts result.id
package main

import (
  "context"
  "fmt"
  "log"
  "net/http"
  "os"
  "strings"
)

func main() {
  body := strings.NewReader("{\"model\":\"gpt-image-2\",\"prompt\":\"Ultra-high-resolution 8K cinematic commercial food advertisement of **[BRAND NAME] instant noodles**, vertical 3:4 aspect ratio. A bold hero composition featuring the **[BRAND NAME] noodle packet** floating in the upper frame, front-facing and perfectly lit, with crisp edges, realistic packaging texture, and clear branding. Below it, a steaming bowl branded with **[BRAND NAME]**, filled with glossy, curly noodles lifted dramatically mid-air using chopsticks, noodles stretching naturally under gravity. Noodles appear richly coated in **[FLAVOR / SAUCE TYPE]**, with visible ingredients such as **[VEGETABLES / CHILIES / GARNISH]** suspended mid-air around the bowl. Steam rises dynamically, interacting with floating spice particles and food fragments. Background is a **completely new cinematic environment** (not copied from reference), abstract and high-energy, filled with swirling flames, sparks, embers, smoke, and motion blur, creating depth and intensity while keeping the food in sharp focus. Lighting is premium studio cinematic lighting: warm golden key light, soft fill light, strong rim light outlining the packet and noodles, high contrast with glowing highlights and deep shadows. Color palette dominated by **[PRIMARY BRAND COLORS]**, enhanced with warm orange-gold food tones and contrasting greens from vegetables. Hyper-realistic textures on noodles, sauce, packaging, and bowl. Shallow depth of field, dramatic bokeh in background, extreme sharpness on hero elements, photorealistic yet stylized for advertising impact. Mood: bold, energetic, spicy, indulgent, mouth-watering, premium commercial look. No people, no clutter, no copied backgrounds. Designed for high-impact food advertising, posters, and social media hero visuals. [BRAND NAME] → Maggi [FLAVOR / SAUCE TYPE] → spicy masala [PRIMARY BRAND COLORS] → yellow and red\"}")
  req, err := http.NewRequestWithContext(context.Background(), http.MethodPost, "https://runapi.ai/api/v1/gpt_image_2/text_to_image", body)
  if err != nil {
    log.Fatal(err)
  }

  req.Header.Set("Authorization", "Bearer "+os.Getenv("RUNAPI_API_KEY"))
  req.Header.Set("Content-Type", "application/json")

  resp, err := http.DefaultClient.Do(req)
  if err != nil {
    log.Fatal(err)
  }
  defer resp.Body.Close()

  fmt.Println(resp.Status)
}
gpt-image-2 /api/v1/gpt_image_2/text_to_image Get API Key
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/api/v1/gpt_image_2/text_to_image
View API Code 
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\" } }"
}
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View API Code 
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  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
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/api/v1/gpt_image_2/text_to_image
View API Code 
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",
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/api/v1/gpt_image_2/text_to_image
View API Code 
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
IM
Image
Poster Design gpt-image-2

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...

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

/api/v1/gpt_image_2/text_to_image
View API Code 
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
IM
Image
Food & Drink gpt-image-2

{ "global_settings": { "resolution": "8K ultra high de...

{ "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" ] }

/api/v1/gpt_image_2/text_to_image
View API Code 
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
FAQ

Using this gpt-image-2 prompt

How do I copy this prompt safely?

Use the copy button beside the full prompt block. It copies only the prompt text, not surrounding page labels, so you can paste it into an agent instruction, a JSON request body, or your own prompt library.

Why does the detail page show parameters?

Some prompts were collected with saved generation settings such as aspect ratio, duration, or voice controls. When parameters exist, the page lists them separately so you can reuse the prompt text and the structured settings together.

Which endpoint should I call?

Use the endpoint path shown in the API code block. The path is generated from the prompt's RunAPI service and endpoint name, then rendered as the public API URL used by curl and SDK examples.

Can I use this prompt in an agent instead of code?

Yes. Pick Claude Code, Codex, Cursor, or Windsurf in the tab switcher, install the RunAPI MCP Server, and paste the generated instruction. The instruction includes the full prompt text.