其他产品

市场|导航

控制台

充值通用资源包

高级智能科普图文系列生成-pro

创建时间: 2026-06-29 15:11 | 步骤: 15 个

工作流描述

根据用户输入的科普主题，通过意图解析、知识检索提取、视觉分镜规划与提示词构建，链式生成画风一致的封面及多分镜科普图文，最终组装输出包含一句话说明、优缺点的结构化结果。

工作流输出

流程步骤共 15 步

1科普主题意图深度解析

2科普检索关键词生成

3搜索科普资讯

4科普知识结构化提取

5科普分镜构图规划

6科普图文生图提示词构建

7生成封面图

8轮询封面图状态

9生成分镜图1

10轮询分镜图1状态

11生成分镜图2

12轮询分镜图2状态

13生成分镜图3

14轮询分镜图3状态

15科普图文结构化组装

工作流定义 (JSON)337 行

{
  "workflow_id": "science_popularization_image_text_workflow",
  "input": {
    "shotLevel": {
      "field_name": "shotLevel",
      "default": "simple",
      "description": "画面复杂度，可选值：simple(简单)、medium(中等)、complex(复杂)",
      "example": "simple",
      "required": false,
      "type": "string"
    },
    "prompt": {
      "field_name": "prompt",
      "default": "",
      "description": "科普主题原文",
      "example": "汽车常见悬挂系列",
      "required": true,
      "type": "string"
    },
    "aspect_ratio": {
      "field_name": "aspect_ratio",
      "default": "3:4",
      "description": "成品图像宽高比例，可选枚举：1:1、3:4、4:3、16:9、9:16",
      "example": "4:3",
      "required": false,
      "type": "string"
    }
  },
  "steps": [
    {
      "id": "step_1_intent_analyzer",
      "point_code": "",
      "result": [],
      "backend_type": "prompt_api",
      "api_code": "intent_analyzer",
      "status": "PENDING",
      "name": "科普主题意图深度解析",
      "action": "run",
      "params": {
        "shotLevel": "{{@input.shotLevel}}",
        "prompt": "{{@input.prompt}}",
        "aspect_ratio": "{{@input.aspect_ratio}}"
      }
    },
    {
      "point_code": "",
      "id": "step_2_generate_keywords",
      "result": [],
      "backend_type": "prompt_api",
      "api_code": "generate_keywords",
      "status": "PENDING",
      "name": "科普检索关键词生成",
      "action": "run",
      "params": {
        "topic": "{{@input.prompt}}",
        "sub_topics": "{{@step_1_intent_analyzer.result.data.sub_topics}}"
      },
      "depends_on": [
        "step_1_intent_analyzer"
      ]
    },
    {
      "point_code": "1",
      "id": "step_3_search_news",
      "result": [],
      "backend_type": "sys_api",
      "api_code": "3395",
      "status": "PENDING",
      "name": "搜索科普资讯",
      "action": "run",
      "params": {
        "news": "{{@step_2_generate_keywords.result.data.result}}"
      },
      "depends_on": [
        "step_2_generate_keywords"
      ]
    },
    {
      "point_code": "",
      "id": "step_4_knowledge_extract",
      "result": [],
      "backend_type": "prompt_api",
      "api_code": "knowledge_extract",
      "status": "PENDING",
      "name": "科普知识结构化提取",
      "action": "run",
      "params": {
        "sub_topics": "{{@step_1_intent_analyzer.result.data.sub_topics}}",
        "search_results": "{{@step_3_search_news.result.data.data}}"
      },
      "depends_on": [
        "step_3_search_news",
        "step_1_intent_analyzer"
      ]
    },
    {
      "point_code": "",
      "id": "step_5_storyboard_planner",
      "result": [],
      "backend_type": "prompt_api",
      "api_code": "storyboard_planner",
      "status": "PENDING",
      "name": "科普分镜构图规划",
      "action": "run",
      "params": {
        "sub_topics": "{{@step_1_intent_analyzer.result.data.sub_topics}}",
        "shotLevel": "{{@input.shotLevel}}",
        "aspect_ratio": "{{@input.aspect_ratio}}"
      },
      "depends_on": [
        "step_1_intent_analyzer"
      ]
    },
    {
      "point_code": "",
      "id": "step_6_prompt_builder_vision",
      "result": [],
      "backend_type": "prompt_api",
      "api_code": "prompt_builder_vision",
      "status": "PENDING",
      "name": "科普图文生图提示词构建",
      "action": "run",
      "params": {
        "knowledge_facts": "{{@step_4_knowledge_extract.result.data.knowledge_facts}}",
        "style_base": "{{@step_5_storyboard_planner.result.data.style_base}}",
        "visual_layouts": "{{@step_5_storyboard_planner.result.data.visual_layouts}}"
      },
      "depends_on": [
        "step_5_storyboard_planner",
        "step_4_knowledge_extract"
      ]
    },
    {
      "point_code": "1",
      "id": "step_7_generate_cover",
      "result": [],
      "backend_type": "sys_api",
      "api_code": "3373",
      "status": "PENDING",
      "name": "生成封面图",
      "action": "run",
      "params": {
        "prompt": "{{@step_6_prompt_builder_vision.result.data.image_prompts.1.positive_prompt}}",
        "aspect_ratio": "{{@input.aspect_ratio}}"
      },
      "depends_on": [
        "step_6_prompt_builder_vision"
      ]
    },
    {
      "id": "step_8_poll_cover",
      "point_code": "",
      "result": [],
      "backend_type": "sys_api",
      "api_code": "polling",
      "status": "PENDING",
      "name": "轮询封面图状态",
      "action": "run",
      "params": {
        "result_url": "{{@step_7_generate_cover.result.data.result_url}}"
      },
      "depends_on": [
        "step_7_generate_cover"
      ],
      "polling": {
        "interval_seconds": 5,
        "timeout_seconds": 600,
        "success_condition": "{{@step_8_poll_cover.result.data.task_status}} === 'SUCCEEDED'"
      }
    },
    {
      "point_code": "1",
      "id": "step_9_generate_shot1",
      "result": [],
      "backend_type": "sys_api",
      "api_code": "3373",
      "status": "PENDING",
      "name": "生成分镜图1",
      "action": "run",
      "params": {
        "referImages": [
          "{{@step_8_poll_cover.result.data.result_url}}"
        ],
        "prompt": "{{@step_6_prompt_builder_vision.result.data.image_prompts.2.positive_prompt}}",
        "aspect_ratio": "{{@input.aspect_ratio}}"
      },
      "depends_on": [
        "step_8_poll_cover",
        "step_6_prompt_builder_vision"
      ]
    },
    {
      "id": "step_10_poll_shot1",
      "point_code": "",
      "result": [],
      "backend_type": "sys_api",
      "api_code": "polling",
      "status": "PENDING",
      "name": "轮询分镜图1状态",
      "action": "run",
      "params": {
        "result_url": "{{@step_9_generate_shot1.result.data.result_url}}"
      },
      "depends_on": [
        "step_9_generate_shot1"
      ],
      "polling": {
        "interval_seconds": 5,
        "timeout_seconds": 600,
        "success_condition": "{{@step_10_poll_shot1.result.data.task_status}} === 'SUCCEEDED'"
      }
    },
    {
      "point_code": "1",
      "id": "step_11_generate_shot2",
      "result": [],
      "backend_type": "sys_api",
      "api_code": "3373",
      "status": "PENDING",
      "name": "生成分镜图2",
      "action": "run",
      "params": {
        "referImages": [
          "{{@step_8_poll_cover.result.data.result_url}}",
          "{{@step_10_poll_shot1.result.data.result_url}}"
        ],
        "prompt": "{{@step_6_prompt_builder_vision.result.data.image_prompts.3.positive_prompt}}",
        "aspect_ratio": "{{@input.aspect_ratio}}"
      },
      "depends_on": [
        "step_10_poll_shot1",
        "step_8_poll_cover",
        "step_6_prompt_builder_vision"
      ]
    },
    {
      "id": "step_12_poll_shot2",
      "point_code": "",
      "result": [],
      "backend_type": "sys_api",
      "api_code": "polling",
      "status": "PENDING",
      "name": "轮询分镜图2状态",
      "action": "run",
      "params": {
        "result_url": "{{@step_11_generate_shot2.result.data.result_url}}"
      },
      "depends_on": [
        "step_11_generate_shot2"
      ],
      "polling": {
        "interval_seconds": 5,
        "timeout_seconds": 600,
        "success_condition": "{{@step_12_poll_shot2.result.data.task_status}} === 'SUCCEEDED'"
      }
    },
    {
      "point_code": "1",
      "id": "step_13_generate_shot3",
      "result": [],
      "backend_type": "sys_api",
      "api_code": "3373",
      "status": "PENDING",
      "name": "生成分镜图3",
      "action": "run",
      "params": {
        "referImages": [
          "{{@step_8_poll_cover.result.data.result_url}}",
          "{{@step_12_poll_shot2.result.data.result_url}}"
        ],
        "prompt": "{{@step_6_prompt_builder_vision.result.data.image_prompts.4.positive_prompt}}",
        "aspect_ratio": "{{@input.aspect_ratio}}"
      },
      "depends_on": [
        "step_12_poll_shot2",
        "step_8_poll_cover",
        "step_6_prompt_builder_vision"
      ]
    },
    {
      "id": "step_14_poll_shot3",
      "point_code": "",
      "result": [],
      "backend_type": "sys_api",
      "api_code": "polling",
      "status": "PENDING",
      "name": "轮询分镜图3状态",
      "action": "run",
      "params": {
        "result_url": "{{@step_13_generate_shot3.result.data.result_url}}"
      },
      "depends_on": [
        "step_13_generate_shot3"
      ],
      "polling": {
        "interval_seconds": 5,
        "timeout_seconds": 600,
        "success_condition": "{{@step_14_poll_shot3.result.data.task_status}} === 'SUCCEEDED'"
      }
    },
    {
      "point_code": "",
      "id": "step_15_content_assembler",
      "result": [],
      "backend_type": "prompt_api",
      "api_code": "content_assembler",
      "status": "PENDING",
      "name": "科普图文结构化组装",
      "action": "run",
      "params": {
        "core_intent": "{{@input.prompt}}",
        "knowledge_facts": "{{@step_4_knowledge_extract.result.data.knowledge_facts}}",
        "image_urls": {
          "shot_1": "{{@step_10_poll_shot1.result.data.result_url}}",
          "shot_2": "{{@step_12_poll_shot2.result.data.result_url}}",
          "cover": "{{@step_8_poll_cover.result.data.result_url}}",
          "shot_3": "{{@step_14_poll_shot3.result.data.result_url}}"
        }
      },
      "depends_on": [
        "step_8_poll_cover",
        "step_10_poll_shot1",
        "step_12_poll_shot2",
        "step_14_poll_shot3",
        "step_4_knowledge_extract"
      ]
    }
  ],
  "output": {
    "final_result_set": {
      "field_name": "final_result_set",
      "description": "最终结构化图文结果集，包含主题、封面及各分镜图文详情",
      "value": "{{@step_15_content_assembler.result.data.final_result_set}}",
      "type": "object"
    }
  }
}

调用方式异步 https://route.showapi.com/flow/execute/6a4213543c51f2cc3600d7cf

提交后立即返回 task_id，系统每 2 秒自动轮询一次运行状态并可视化工作流步骤，适合耗时较长的工作流。

输入参数共 3 个参数（其中 1 个必填）

shotLevelstring

画面复杂度，可选值：simple(简单)、medium(中等)、complex(复杂)

prompt必填string

科普主题原文

aspect_ratiostring

成品图像宽高比例，可选枚举：1:1、3:4、4:3、16:9、9:16

工作流为异步调用过程：先提交执行拿到 task_id，再轮询查询任务状态与结果。下方按调用顺序列出两个端点。

1POST

提交执行

https://route.showapi.com/flow/execute/{flow_id}?appKey={AppKey}

鉴权：URL 查询参数 appKey={AppKey}Content-Type: application/json获取 AppKey

请求体参数 (Request Body)

shotLevelstring

画面复杂度，可选值：simple(简单)、medium(中等)、complex(复杂)

promptstring必填

科普主题原文

aspect_ratiostring

成品图像宽高比例，可选枚举：1:1、3:4、4:3、16:9、9:16

响应：提交成功返回 task_id

2GET

查询任务状态

https://route.showapi.com/flow/task/query/{task_id}?appKey={AppKey}

鉴权：URL 查询参数 appKey={AppKey}Content-Type: application/json获取 AppKey

用第 ① 步返回的 task_id 替换 URL 中的 {task_id} 轮询，建议 1-2 秒一次，直到 status 为 SUCCESS 或 FAILED；step_status_list 可用于可视化执行进度。

响应：任务状态与结果

执行中途出错时

status 返回 FAILED， remark 给出错误信息； step_status_list 仅包含已执行到的部分阶段， output 为已产出的部分结果（可能为空或不完整）。

通用响应说明

系统级返回

所有 API 响应均使用平台统一封装，业务数据嵌套在 showapi_res_body 中

高级智能科普图文系列生成-pro

工作流描述

工作流输出

流程步骤共 15 步

完整定义

提交执行

请求体参数 (Request Body)

查询任务状态

通用响应说明

系统级返回

错误码 (showapi_res_code)

高级智能科普图文系列生成-pro

工作流描述

工作流输出

流程步骤 共 15 步

完整定义

流程步骤共 15 步