Flux Dev Image Generation Fal.ai

工作流概述

这是一个包含12个节点的复杂工作流,主要用于自动化处理各种任务。

工作流源代码

下载
{
  "id": "nJwkSOrJIFvutw1n",
  "meta": {
    "instanceId": "08daa2aa5b6032ff63690600b74f68f5b0f34a3b100102e019b35c4419168977"
  },
  "name": "Flux Dev Image Generation Fal.ai",
  "tags": [],
  "nodes": [
    {
      "id": "00f3a7d9-9931-40a4-8eb5-5b9086d6995c",
      "name": "Fal Flux",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        420,
        0
      ],
      "parameters": {
        "url": "https://queue.fal.run/fal-ai/flux/dev",
        "method": "POST",
        "options": {},
        "jsonBody": "={
  \"prompt\": \"{{ $json.Prompt }}\",
  \"image_size\": {
  \"width\": {{ $json.Width }},
  \"height\": {{ $json.Height }}
},
  \"num_inference_steps\": {{ $json.Steps }},
  \"guidance_scale\": {{ $json.Guidance }},
  \"num_images\": 1,
  \"enable_safety_checker\": true
}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth"
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "lNxvZHlUafPAHBYN",
          "name": "Fal Flux Header Auth account"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "3032a543-2e21-415e-a5bd-d56ea33e4411",
      "name": "Get Image Result URL",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1220,
        -20
      ],
      "parameters": {
        "url": "=https://queue.fal.run/fal-ai/flux/requests/{{ $json.request_id }}",
        "options": {},
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth"
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "lNxvZHlUafPAHBYN",
          "name": "Fal Flux Header Auth account"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "56e13e53-1697-4970-9bea-b75e0e849425",
      "name": "Download Image",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1400,
        -20
      ],
      "parameters": {
        "url": "={{ $json.images[0].url }}",
        "options": {}
      },
      "typeVersion": 4.2
    },
    {
      "id": "dd2efd2c-8712-4a77-8786-cccebdec876b",
      "name": "Google Drive",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
        1580,
        -20
      ],
      "parameters": {
        "name": "={{ $binary.data.fileName }}",
        "driveId": {
          "__rl": true,
          "mode": "list",
          "value": "My Drive"
        },
        "options": {},
        "folderId": {
          "__rl": true,
          "mode": "list",
          "value": "1R3PSyHXWHlY9DRFdOUEAPEop2fZy-_-K",
          "cachedResultUrl": "https://drive.google.com/drive/folders/1R3PSyHXWHlY9DRFdOUEAPEop2fZy-_-K",
          "cachedResultName": "Flux Image"
        }
      },
      "credentials": {
        "googleDriveOAuth2Api": {
          "id": "CFiX9XTXGg4hGaGV",
          "name": "Google Drive account"
        }
      },
      "typeVersion": 3
    },
    {
      "id": "a598d868-0461-41fc-b6aa-f9998e9d6146",
      "name": "When clicking ‘Test workflow’",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -60,
        0
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "a576d7b6-b2f3-4d53-8e7f-bb6449ff9c64",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        80,
        -120
      ],
      "parameters": {
        "width": 260,
        "height": 120,
        "content": "## Set Parameter Here 
set Image Prompt and related settings"
      },
      "typeVersion": 1
    },
    {
      "id": "d39e85a8-3ddd-4f10-ba4c-beb86a850e10",
      "name": "Wait 3 Sec",
      "type": "n8n-nodes-base.wait",
      "position": [
        640,
        0
      ],
      "webhookId": "61a8626c-e281-4d4b-abb0-b9d87d1b4e7c",
      "parameters": {
        "amount": 3
      },
      "typeVersion": 1.1
    },
    {
      "id": "b27ac2f1-3f14-467e-81c4-af8b8fb37138",
      "name": "Check Status",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        840,
        0
      ],
      "parameters": {
        "url": "=https://queue.fal.run/fal-ai/flux/requests/{{ $json.request_id }}/status",
        "options": {},
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth"
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "lNxvZHlUafPAHBYN",
          "name": "Fal Flux Header Auth account"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "7ee45dab-8e31-44de-bbb1-e99a565ee19c",
      "name": "Completed?",
      "type": "n8n-nodes-base.if",
      "position": [
        1020,
        0
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "299a7c34-dcff-4991-a73f-5b1a84f188ea",
              "operator": {
                "name": "filter.operator.equals",
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $json.status }}",
              "rightValue": "COMPLETED"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "c5036a7d-1879-449f-8ce9-9c1cf2c7426b",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1300,
        -100
      ],
      "parameters": {
        "width": 220,
        "height": 100,
        "content": "## Set Drive Folder Here "
      },
      "typeVersion": 1
    },
    {
      "id": "c8887168-6234-486c-b7cb-cc0752c6341c",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        360,
        -180
      ],
      "parameters": {
        "width": 260,
        "height": 180,
        "content": "### Generic Credential Type
### Header : Authorization
Key $FAL_KEY\"

for example:
Key 6f2960baxxxxxxxxx"
      },
      "typeVersion": 1
    },
    {
      "id": "587043c4-e808-4c3f-910f-60f5eb8aff15",
      "name": "Edit Fields",
      "type": "n8n-nodes-base.set",
      "position": [
        180,
        0
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "f0a033cf-fa2b-4930-93b9-ff9c45fa7c14",
              "name": "Prompt",
              "type": "string",
              "value": "Thai young woman net idol 25 yrs old, walking on the street"
            },
            {
              "id": "2b56185d-5c61-4c17-85f1-53ac4aab2b18",
              "name": "Width",
              "type": "number",
              "value": 1024
            },
            {
              "id": "51eb65c0-ae0a-4ce7-ab00-9d13f05ce1e6",
              "name": "Height",
              "type": "number",
              "value": 768
            },
            {
              "id": "8e89fca7-d380-4876-b973-69caa0394bc5",
              "name": "Steps",
              "type": "number",
              "value": 30
            },
            {
              "id": "875e06b7-352a-4dde-8595-3274e9969c9c",
              "name": "Guidance",
              "type": "number",
              "value": 3.5
            }
          ]
        }
      },
      "typeVersion": 3.4
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "82877b10-5bbc-4c59-828b-4abc3ad53a5f",
  "connections": {
    "Fal Flux": {
      "main": [
        [
          {
            "node": "Wait 3 Sec",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Completed?": {
      "main": [
        [
          {
            "node": "Get Image Result URL",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Wait 3 Sec",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Wait 3 Sec": {
      "main": [
        [
          {
            "node": "Check Status",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Edit Fields": {
      "main": [
        [
          {
            "node": "Fal Flux",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Check Status": {
      "main": [
        [
          {
            "node": "Completed?",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Download Image": {
      "main": [
        [
          {
            "node": "Google Drive",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get Image Result URL": {
      "main": [
        [
          {
            "node": "Download Image",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "When clicking ‘Test workflow’": {
      "main": [
        [
          {
            "node": "Edit Fields",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

功能特点

  • 自动检测新邮件
  • AI智能内容分析
  • 自定义分类规则
  • 批量处理能力
  • 详细的处理日志

技术分析

节点类型及作用

  • Httprequest
  • Googledrive
  • Manualtrigger
  • Stickynote
  • Wait

复杂度评估

配置难度:
★★★★☆
维护难度:
★★☆☆☆
扩展性:
★★★★☆

实施指南

前置条件

  • 有效的Gmail账户
  • n8n平台访问权限
  • Google API凭证
  • AI分类服务订阅

配置步骤

  1. 在n8n中导入工作流JSON文件
  2. 配置Gmail节点的认证信息
  3. 设置AI分类器的API密钥
  4. 自定义分类规则和标签映射
  5. 测试工作流执行
  6. 配置定时触发器(可选)

关键参数

参数名称 默认值 说明
maxEmails 50 单次处理的最大邮件数量
confidenceThreshold 0.8 分类置信度阈值
autoLabel true 是否自动添加标签

最佳实践

优化建议

  • 定期更新AI分类模型以提高准确性
  • 根据邮件量调整处理批次大小
  • 设置合理的分类置信度阈值
  • 定期清理过期的分类规则

安全注意事项

  • 妥善保管API密钥和认证信息
  • 限制工作流的访问权限
  • 定期审查处理日志
  • 启用双因素认证保护Gmail账户

性能优化

  • 使用增量处理减少重复工作
  • 缓存频繁访问的数据
  • 并行处理多个邮件分类任务
  • 监控系统资源使用情况

故障排除

常见问题

邮件未被正确分类

检查AI分类器的置信度阈值设置,适当降低阈值或更新训练数据。

Gmail认证失败

确认Google API凭证有效且具有正确的权限范围,重新进行OAuth授权。

调试技巧

  • 启用详细日志记录查看每个步骤的执行情况
  • 使用测试邮件验证分类逻辑
  • 检查网络连接和API服务状态
  • 逐步执行工作流定位问题节点

错误处理

工作流包含以下错误处理机制:

  • 网络超时自动重试(最多3次)
  • API错误记录和告警
  • 处理失败邮件的隔离机制
  • 异常情况下的回滚操作