---
title: 自驾游行程规划|万维易源ShowAPI
canonical_url: "https://www.showapi.com/ai/skills/self-drive-comic-itinerary-generator"
last_updated: "2026-10-14T07:05:00.418Z"
meta:
  description: "根据出发地、目的地、天数和出发日期，规划每日自驾行程，结合沿途真实天气，生成一张包含多日小图的日系漫画风格行程大图，每个小图标注中文日期与天气，背景融合当地风景与气象视觉元素 免费在线使用，也支持 API / Agent 接入。"
  keywords: "自驾游行程规划, AI Skill, 万维易源, showapi, 大模型, ai技能, AI工具, 异步任务, Agent技能包, api接口, 在线使用, api接口, api接口大全, 免费api, 免费数据接口, 数据接口, api开放平台, 万维易源, showapi, 大模型, AI Skills"
  "og:description": "根据出发地、目的地、天数和出发日期，规划每日自驾行程，结合沿途真实天气，生成一张包含多日小图的日系漫画风格行程大图，每个小图标注中文日期与天气，背景融合当地风景与气象视觉元素 免费在线使用，也支持 API / Agent 接入。"
  "og:title": "自驾游行程规划 AI Skill|万维易源ShowAPI"
---

# **自驾游行程规划**

根据出发地、目的地、天数和出发日期，规划每日自驾行程，结合沿途真实天气，生成一张包含多日小图的日系漫画风格行程大图，每个小图标注中文日期与天气，背景融合当地风景与气象视觉元素

S**Serenoa** 2026-06-01 13:53 · 7 个步骤

约 ¥0.25/次调用，含模型推理价格

ID`6a1d1e4b3c51f28e4b002234`

### **能力组成**

**立即试一试** 在线体验此 Skill，输入参数即可看到实时效果

### **输出案例**

-
-
-

### **内部编排**

共 7 步 · AI 自动编排的执行流程与原始定义 收起

1深度解析自驾游意图

2规划每日自驾行程骨架

3批量查询沿途城市天气

4生成每日漫画场景提示词

5融合终极大图生图提示词

6生成行程漫画大图

7轮询大图生成状态

**完整定义 (JSON)**227 行

```
{
  "workflow_id": "self_drive_comic_itinerary_generator",
  "input": {
    "days": {
      "field_name": "days",
      "default": 5,
      "description": "自驾游天数（1-10天）",
      "example": 5,
      "type": "integer",
      "required": true
    },
    "origin": {
      "field_name": "origin",
      "default": "",
      "description": "出发地城市名称",
      "example": "上海",
      "type": "string",
      "required": true
    },
    "user_preference": {
      "field_name": "user_preference",
      "default": "喜欢自然风光，节奏轻松",
      "description": "用户额外偏好描述（可选）",
      "example": "喜欢自然风光，节奏轻松",
      "type": "string",
      "required": false
    },
    "start_date": {
      "field_name": "start_date",
      "default": "",
      "description": "出发日期，格式YYYY-MM-DD，用于推算每日日期标签",
      "example": "2026-06-01",
      "type": "string",
      "required": true
    },
    "aspect_ratio": {
      "field_name": "aspect_ratio",
      "default": "16:9",
      "description": "大图宽高比，可选值：1:1、3:4、4:3、16:9、9:16",
      "example": "16:9",
      "type": "string",
      "required": false
    },
    "destination": {
      "field_name": "destination",
      "default": "",
      "description": "目的地城市名称",
      "example": "成都",
      "type": "string",
      "required": true
    }
  },
  "steps": [
    {
      "point_code": "",
      "id": "step_1_analyze_intent",
      "result": [],
      "backend_type": "prompt_api",
      "api_code": "intent_analyzer",
      "status": "PENDING",
      "name": "深度解析自驾游意图",
      "action": "run",
      "params": {
        "days": "{{@input.days}}",
        "origin": "{{@input.origin}}",
        "user_preference": "{{@input.user_preference}}",
        "start_date": "{{@input.start_date}}",
        "destination": "{{@input.destination}}"
      }
    },
    {
      "id": "step_2_plan_itinerary",
      "point_code": "",
      "result": [],
      "backend_type": "prompt_api",
      "api_code": "itinerary_planner",
      "status": "PENDING",
      "name": "规划每日自驾行程骨架",
      "action": "run",
      "params": {
        "days": "{{@input.days}}",
        "structured_intent": "{{@step_1_analyze_intent.result.data.structured_intent}}",
        "origin": "{{@input.origin}}",
        "start_date": "{{@input.start_date}}",
        "destination": "{{@input.destination}}"
      },
      "depends_on": [
        "step_1_analyze_intent"
      ]
    },
    {
      "result": [],
      "iterator": "{{@step_2_plan_itinerary.result.data.daily_itinerary}}",
      "status": "PENDING",
      "aggregates": [
        {
          "field": "data",
          "into": "weather_data_list"
        }
      ],
      "params": {
        "needAlarm": "0",
        "area": "{{@itinerary_item.city}}",
        "needHourData": "0",
        "needIndex": "0",
        "need3HourForcast": "0",
        "needMoreDay": "1"
      },
      "depends_on": [
        "step_2_plan_itinerary"
      ],
      "point_code": "2",
      "id": "step_3_fetch_weather_per_city",
      "api_code": "9",
      "backend_type": "sys_api",
      "item_name": "itinerary_item",
      "name": "批量查询沿途城市天气",
      "action": "foreach"
    },
    {
      "id": "step_4_generate_daily_scene_prompts",
      "point_code": "",
      "result": [],
      "backend_type": "prompt_api",
      "api_code": "daily_scene_prompt_generator",
      "status": "PENDING",
      "name": "生成每日漫画场景提示词",
      "action": "run",
      "params": {
        "weather_data_per_day": "{{@step_3_fetch_weather_per_city.result.data.aggregated.weather_data_list}}",
        "daily_itinerary": "{{@step_2_plan_itinerary.result.data.daily_itinerary}}",
        "art_style_anchor": "日系清新旅游漫画风格，柔和色彩，简洁线条，可爱手绘感"
      },
      "depends_on": [
        "step_2_plan_itinerary",
        "step_3_fetch_weather_per_city"
      ]
    },
    {
      "id": "step_5_fusion_master_prompt",
      "point_code": "",
      "result": [],
      "backend_type": "prompt_api",
      "api_code": "master_image_prompt_fusion",
      "status": "PENDING",
      "name": "融合终极大图生图提示词",
      "action": "run",
      "params": {
        "weather_data_per_day": "{{@step_3_fetch_weather_per_city.result.data.aggregated.weather_data_list}}",
        "days": "{{@input.days}}",
        "daily_scene_prompts": "{{@step_4_generate_daily_scene_prompts.result.data.daily_scene_prompts}}",
        "grid_layout_preference": "根据天数自动计算网格布局，如5天采用2行3列最后一格留白装饰",
        "daily_itinerary": "{{@step_2_plan_itinerary.result.data.daily_itinerary}}",
        "start_date": "{{@input.start_date}}"
      },
      "depends_on": [
        "step_2_plan_itinerary",
        "step_3_fetch_weather_per_city",
        "step_4_generate_daily_scene_prompts"
      ]
    },
    {
      "id": "step_6_generate_master_image",
      "point_code": "1",
      "result": [],
      "backend_type": "sys_api",
      "api_code": "3373",
      "status": "PENDING",
      "name": "生成行程漫画大图",
      "action": "run",
      "params": {
        "prompt": "{{@step_5_fusion_master_prompt.result.data.master_prompt}}",
        "aspect_ratio": "{{@input.aspect_ratio}}"
      },
      "depends_on": [
        "step_5_fusion_master_prompt"
      ]
    },
    {
      "point_code": "",
      "id": "step_7_poll_image_status",
      "result": [],
      "backend_type": "sys_api",
      "api_code": "polling",
      "status": "PENDING",
      "name": "轮询大图生成状态",
      "action": "run",
      "params": {
        "result_url": "{{@step_6_generate_master_image.result.data.result_url}}"
      },
      "depends_on": [
        "step_6_generate_master_image"
      ],
      "polling": {
        "interval_seconds": 6,
        "timeout_seconds": 900,
        "success_condition": "{{@step_7_poll_image_status.result.data.task_status}} === 'SUCCEEDED'"
      }
    }
  ],
  "output": {
    "master_image_url": {
      "field_name": "master_image_url",
      "description": "最终生成的自驾游漫画行程大图URL",
      "value": "{{@step_7_poll_image_status.result.data.result_url}}",
      "type": "string"
    },
    "city_list": {
      "field_name": "city_list",
      "description": "沿途途经城市列表",
      "value": "{{@step_2_plan_itinerary.result.data.city_list}}",
      "type": "array"
    },
    "daily_itinerary": {
      "field_name": "daily_itinerary",
      "description": "规划后的每日行程骨架列表",
      "value": "{{@step_2_plan_itinerary.result.data.daily_itinerary}}",
      "type": "array"
    },
    "master_prompt": {
      "field_name": "master_prompt",
      "description": "融合后的终极大图生图提示词",
      "value": "{{@step_5_fusion_master_prompt.result.data.master_prompt}}",
      "type": "string"
    }
  }
}
```

介绍

在线运行

Skill与API