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Examples

gpt-image-2

Enterprise Cloud AI Architecture Infographic

Ready-to-edit enterprise cloud AI architecture infographic image prompt.

Ready-to-edit enterprise cloud AI architecture infographic image prompt.
Ready-to-edit enterprise cloud AI architecture infographic image prompt.
Prompt

{"type":"enterprise cloud AI architecture infographic","style":"clean corporate vector diagram, white background, blue and teal palette, rounded rectangles, thin blue outlines, subtle shadows, Chinese-first bilingual labels with smaller English subtitles, symmetrical layout, presentation-slide quality","canvas":{"aspect_ratio":"4:3","resolution":"1024x768"},"title_block":{"headline":"{argument name=\"headline text\" default=\"云端 AI Agent 架构图\"}","subtitle":"面向云端任务执行、代码协作与大规模调度的 Cloud AI Agent Architecture","position":"top center"},"layout":{"center":{"type":"stacked architecture layers","count":7,"numbered":true,"layers":[{"index":1,"title":"接入与体验层","english":"access and experience layer","count":5,"items":["Web Console","IDE / CLI","API / SDK","消息通知 Slack / Email","任务看板 组织与项目空间"]},{"index":2,"title":"云端控制平面","english":"cloud control plane","count":6,"items":["API Gateway","Auth / Tenant","Session Manager","Project / Workspace Manager","Task Queue","Rate Limit / Billing"]},{"index":3,"title":"Agent 编排层","english":"agent orchestration layer","count":8,"items":["Planner / 任务规划器","Reasoner / 推理引擎","Context Manager / 上下文管理","Memory / 记忆系统","Prompt Builder","Workflow Orchestrator / 工作流编排","Policy Engine / 策略引擎","Multi-Agent Coordinator / 多 Agent 协同"]},{"index":4,"title":"执行运行时层","english":"execution runtime layer","count":8,"items":["Sandbox Pool / 容器沙箱","Browser / HTTP 工具","Code Runner / Terminal","Git Workspace","Tool Adapters / MCP","Scheduler / Worker","Test Runner","Artifact Executor / Patch & Diff"]},{"index":5,"title":"模型与智能服务层","english":"model and intelligence services layer","count":6,"items":["Model Router","Frontier LLM API","Embedding / Reranker","OCR / STT / TTS(可选)","Evaluator / Reflection","第三方 Agent / SaaS"]},{"index":6,"title":"数据与状态层","english":"data and state layer","count":8,"items":["Relational DB","Vector DB","Redis Cache","Session State","Artifact Store","对象存储 Object Storage","配置中心 Config","日志与审计 Logs"]},{"index":7,"title":"云基础设施层","english":"cloud infrastructure layer","count":8,"items":["Kubernetes / 容器编排","Service Mesh","Event Bus","Secrets / KMS","VPC / Network","Autoscaling","CI/CD","多区域容灾 DR"]}]},"left_sidebar":{"title":"可观测性 / SRE","position":"left","count":6,"items":["监控 Monitoring","Tracing","Metrics","日志聚合 Logs","成本与配额 Cost / Quota","告警 Alerting"]},"right_sidebar":{"title":"安全治理","position":"right","count":6,"items":["SSO / RBAC","密钥与 Secrets","策略护栏 Guardrails","人工审批 Human Approval","审计合规 Audit","数据隔离 Isolation"]},"connectors":"bidirectional blue arrows linking both sidebars to every central layer, plus vertical arrows between each architecture layer"},"visual_details":{"icons":"simple blue line icons in every box, one icon per module","boxes":"rounded white cards with pale blue or pale green tinted section backgrounds","section_colors":{"layers_1_2_5_7":"light blue","layer_3":"light lavender","layer_4":"light cyan","layer_6":"light green","sidebars":"deep royal blue headers with white text"},"typography":"bold dark navy Chinese headline, smaller gray-blue subtitle, medium-weight Chinese section labels, compact bilingual item labels"},"footer":{"position":"bottom center","text":"{argument name=\"footer text\" default=\"特性:云原生 • 多租户 • 弹性扩缩容 • 安全合规 • 人机协同 • 任务可追踪 • 支持多模型与多 Agent 协同\"}"},"quality":"crisp infographic, balanced spacing, high legibility, polished enterprise architecture slide suitable for keynote, documentation, and product marketing"}

Prompt structure
  • Modelgpt-image-2
  • Use casesocial-media-post
  • Styleminimal, editorial
  • Aspect ratioFlexible
Best used for
  • Use casesocial-media-post
  • Styleminimal, editorial
  • Recommended specs1:1, 4:5, 16:9, or 9:16
  • ModelGPT Image 2
How to customize

Use this Enterprise Cloud AI Architecture Infographic prompt as a base. Replace the subject, product details, environment, lighting, brand colors, and output ratio while keeping the social-media-post intent and minimal, editorial direction stable.

Editable variables
  • SubjectReplace the product, person, scene, interface, or object being generated.
  • Use caseKeep or rewrite the destination as social media post, ad creative, cover image, poster, or ecommerce hero.
  • FrameChoose 1:1, 4:5, 16:9, or 9:16 based on the final placement.
  • Brand cuesAdd colors, materials, props, text-safe space, and the platform where the image will be used.
Recommended specs

Choose the frame for the destination first, then use 1K, 2K, or 4K based on output quality needs. Product images and posters usually benefit from higher resolution.

Pre-generation checklist
  • CheckSubject, lighting, composition, and frame are specific enough to review.
  • CheckText-safe space is included when the image will carry a headline or ad copy.
  • CheckResolution, credit cost, and final destination are checked before generation.
Why this prompt works

Enterprise Cloud AI Architecture Infographic works because it starts from the image job, then controls subject, composition, lighting, style, and frame. It is best for social media post while keeping the minimal, editorial direction stable.

Common questions
  • Can I use it directly?Yes. Replace the subject, brand cues, and frame, then generate in Image2Studio.
  • Which ratio should I use?Choose 1:1, 4:5, 16:9, or 9:16 based on the destination.