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使用Kling API为服装生成360°虚拟试穿视频

高级

这是一个Design, AI, Marketing领域的自动化工作流，包含 16 个节点。主要使用 If, Set, Wait, Switch, HttpRequest 等节点，结合人工智能技术实现智能自动化。 使用Kling API为服装生成360°虚拟试穿视频（非官方）

前置要求
  • •可能需要目标 API 的认证凭证

使用的节点 (16)

If
Set
Wait
Switch
StickyNote
HttpRequest
ManualTrigger

分类

设计
人工智能
营销
工作流预览
可视化展示节点连接关系，支持缩放和平移
React Flow
导出工作流
复制以下 JSON 配置到 n8n 导入，即可使用此工作流
{
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  "meta": {
    "instanceId": "1e003a7ea4715b6b35e9947791386a7d07edf3b5bf8d4c9b7ee4fdcbec0447d7"
  },
  "name": "使用 Kling API 为服装生成 360° 虚拟试穿视频",
  "tags": [],
  "nodes": [
    {
      "id": "978b4ac4-0357-4d2b-8a02-7da04e6f3f1f",
      "name": "当点击\"测试工作流\"时",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
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      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "54d1c23f-3a13-4ec0-9b3b-3806e5faae18",
      "name": "Kling 虚拟试穿任务",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        620,
        140
      ],
      "parameters": {
        "url": "https://api.piapi.ai/api/v1/task",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n  \"model\": \"kling\",\n  \"task_type\": \"ai_try_on\",\n  \"input\": {\n    \"model_input\": \"{{ $json.model_input }}\",\n    \"dress_input\": \"{{ $json.dress_input }}\",\n    \"upper_input\": \"{{ $json.upper_input }}\",\n    \"lower_input\": \"{{ $json.lower_input }}\",\n    \"batch_size\": 1\n  }\n} ",
        "sendBody": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "headerParameters": {
          "parameters": [
            {
              "name": "x-api-key",
              "value": "={{ $json['x-api-key'] }}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "5be9d932-c102-4a7e-b995-09c6bf17026c",
      "name": "Switch",
      "type": "n8n-nodes-base.switch",
      "position": [
        960,
        200
      ],
      "parameters": {
        "rules": {
          "values": [
            {
              "conditions": {
                "options": {
                  "version": 2,
                  "leftValue": "",
                  "caseSensitive": true,
                  "typeValidation": "strict"
                },
                "combinator": "and",
                "conditions": [
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                    "operator": {
                      "type": "string",
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                    },
                    "leftValue": "={{ $json.data.status }}",
                    "rightValue": "completed"
                  }
                ]
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            }
          ]
        },
        "options": {}
      },
      "typeVersion": 3.2
    },
    {
      "id": "cdda4f40-1580-4a5a-a7f4-f1e4fbf7ceb4",
      "name": "获取 Kling 视频任务",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1180,
        440
      ],
      "parameters": {
        "url": "=https://api.piapi.ai/api/v1/task/{{ $json.data.task_id }}",
        "options": {},
        "sendHeaders": true,
        "headerParameters": {
          "parameters": [
            {
              "name": "x-api-key",
              "value": "={{ $('Preset Parameters').item.json['x-api-key'] }}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "3e794d14-b55f-4936-90af-8237977d6635",
      "name": "生成 kling 视频",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1140,
        200
      ],
      "parameters": {
        "url": "https://api.piapi.ai/api/v1/task",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n    \"model\": \"kling\",\n    \"task_type\": \"video_generation\",\n    \"input\": {\n        \"version\": \"1.6\",\n        \"image_url\": \"{{ $json.data.output.works[0].image.resource }}\",\n        \"prompt\": \"{{ $('Preset Parameters').item.json.generate_video_prompt }}\"\n    }\n} ",
        "sendBody": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "headerParameters": {
          "parameters": [
            {
              "name": "x-api-key",
              "value": "={{ $('Preset Parameters').item.json['x-api-key'] }}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "3ae849b2-4bd4-454f-a759-e44a9736100d",
      "name": "预设参数",
      "type": "n8n-nodes-base.set",
      "position": [
        380,
        140
      ],
      "parameters": {
        "mode": "raw",
        "options": {},
        "jsonOutput": "{\n  \"x-api-key\":\"\",\n  \"model_input\": \"\",\n  \"dress_input\": \"\",\n  \"upper_input\":\"\",\n  \"lower_input\":\"\",\n  \"generate_video_prompt\": \"Walk on the catwalk, turn around, and finally stand still and pose\"\n}\n"
      },
      "typeVersion": 3.4
    },
    {
      "id": "18c606e3-82e2-4c09-a87e-6bbc71363c1c",
      "name": "获取 Kling 虚拟试穿任务",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        420,
        460
      ],
      "parameters": {
        "url": "=https://api.piapi.ai/api/v1/task/{{ $json.data.task_id }}",
        "options": {},
        "sendHeaders": true,
        "headerParameters": {
          "parameters": [
            {
              "name": "x-api-key",
              "value": "={{ $('Preset Parameters').item.json['x-api-key'] }}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "becf3d7b-d468-4b4a-b22f-d6d747e52664",
      "name": "检查数据状态",
      "type": "n8n-nodes-base.if",
      "position": [
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      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "or",
          "conditions": [
            {
              "id": "e97a02cc-8d1d-4500-bce5-0a296c792b76",
              "operator": {
                "name": "filter.operator.equals",
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $json.data.status }}",
              "rightValue": "completed"
            },
            {
              "id": "50b63a7a-52b5-4766-a859-96ac1ff949ec",
              "operator": {
                "name": "filter.operator.equals",
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $json.data.status }}",
              "rightValue": "failed"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "d8ec251d-d47c-4341-909d-abdea385c1f9",
      "name": "等待图像生成",
      "type": "n8n-nodes-base.wait",
      "position": [
        160,
        460
      ],
      "webhookId": "af79053d-1291-4dd2-889e-4593dbbb2512",
      "parameters": {},
      "typeVersion": 1.1
    },
    {
      "id": "88e3067f-0b1f-472a-937b-926c6d208453",
      "name": "等待视频生成",
      "type": "n8n-nodes-base.wait",
      "position": [
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      ],
      "webhookId": "af79053d-1291-4dd2-889e-4593dbbb2512",
      "parameters": {},
      "typeVersion": 1.1
    },
    {
      "id": "36d75678-918f-42c5-97a7-7a13d1eacbd4",
      "name": "检查视频数据状态",
      "type": "n8n-nodes-base.switch",
      "position": [
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        180
      ],
      "parameters": {
        "rules": {
          "values": [
            {
              "conditions": {
                "options": {
                  "version": 2,
                  "leftValue": "",
                  "caseSensitive": true,
                  "typeValidation": "strict"
                },
                "combinator": "and",
                "conditions": [
                  {
                    "id": "5f61ee56-4ebe-411f-95e6-b47d9741e7a2",
                    "operator": {
                      "type": "string",
                      "operation": "equals"
                    },
                    "leftValue": "={{ $json.data.status }}",
                    "rightValue": "completed"
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                ]
              }
            }
          ]
        },
        "options": {}
      },
      "typeVersion": 3.2
    },
    {
      "id": "7356d963-83c0-47a1-a728-9191f66d2f57",
      "name": "获取视频数据状态",
      "type": "n8n-nodes-base.if",
      "position": [
        1400,
        440
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "or",
          "conditions": [
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              "id": "e97a02cc-8d1d-4500-bce5-0a296c792b76",
              "operator": {
                "name": "filter.operator.equals",
                "type": "string",
                "operation": "equals"
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              "leftValue": "={{ $json.data.status }}",
              "rightValue": "completed"
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            {
              "id": "50b63a7a-52b5-4766-a859-96ac1ff949ec",
              "operator": {
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                "operation": "equals"
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              "leftValue": "={{ $json.data.status }}",
              "rightValue": "failed"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "9ef52637-ccc9-4817-8c14-5c54fa0af178",
      "name": "获取最终视频 URL",
      "type": "n8n-nodes-base.set",
      "position": [
        1760,
        180
      ],
      "parameters": {
        "mode": "raw",
        "options": {},
        "jsonOutput": "={\n  \"video_url\": \"{{ $json.data.output.video_url }}\"\n}\n "
      },
      "typeVersion": 3.4
    },
    {
      "id": "9a0194bd-59a5-45b1-a6e2-db0605eb4d7a",
      "name": "便签",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        140,
        -120
      ],
      "parameters": {
        "width": 460,
        "height": 220,
        "content": "## 使用 Kling API（非官方）为服装生成 360° 虚拟试穿视频"
      },
      "typeVersion": 1
    },
    {
      "id": "629697ae-cd49-4e8e-953d-a2f091ed9202",
      "name": "便签1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        120,
        700
      ],
      "parameters": {
        "width": 340,
        "height": 200,
        "content": "## 生成虚拟试穿图像"
      },
      "typeVersion": 1
    },
    {
      "id": "710bd0f0-8b5a-469a-8b31-b6f738dc7f79",
      "name": "便签2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1640,
        460
      ],
      "parameters": {
        "width": 340,
        "content": "## 生成最终视频"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "97ee31dd-b8be-4b37-bbed-363ac35d5268",
  "connections": {
    "Switch": {
      "main": [
        [
          {
            "node": "Generate kling video",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Check Data Status": {
      "main": [
        [
          {
            "node": "Switch",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Wait for Image Generation",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Preset Parameters": {
      "main": [
        [
          {
            "node": "Kling Virtual Try-On Task",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Generate kling video": {
      "main": [
        [
          {
            "node": "Wait for Video Generation",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get Kling Video Task": {
      "main": [
        [
          {
            "node": "Get Video Data Status",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get Video Data Status": {
      "main": [
        [
          {
            "node": "Check Video Data Status",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Wait for Video Generation",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Check Video Data Status": {
      "main": [
        [
          {
            "node": "Get Final Video URL",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Kling Virtual Try-On Task": {
      "main": [
        [
          {
            "node": "Wait for Image Generation",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Wait for Image Generation": {
      "main": [
        [
          {
            "node": "Get Kling Virtual Try-On Task",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Wait for Video Generation": {
      "main": [
        [
          {
            "node": "Get Kling Video Task",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get Kling Virtual Try-On Task": {
      "main": [
        [
          {
            "node": "Check Data Status",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "When clicking ‘Test workflow’": {
      "main": [
        [
          {
            "node": "Preset Parameters",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}
常见问题

如何使用这个工作流？

复制上方的 JSON 配置代码，在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」，粘贴配置后根据需要修改凭证设置即可。

这个工作流适合什么场景？

高级 - 设计, 人工智能, 营销

需要付费吗？

本工作流完全免费，您可以直接导入使用。但请注意，工作流中使用的第三方服务（如 OpenAI API）可能需要您自行付费。

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工作流信息
难度等级
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节点数量16
分类3
节点类型7
难度说明

适合高级用户，包含 16+ 个节点的复杂工作流

作者
PiAPI

PiAPI

@piapi
外部链接
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