New OpenAI Image Generation
工作流概述
这是一个包含6个节点的中等工作流,主要用于自动化处理各种任务。
工作流源代码
{
"id": "FyoPGDh8r3pxcGxo",
"meta": {
"instanceId": "bcc0fe85b176c2837affb21bb7d7397fad2549880e73dc1f7a42e76ae94fd996"
},
"name": "New OpenAI Image Generation",
"tags": [
{
"id": "SGTGlhD84tHTcai7",
"name": "image gen",
"createdAt": "2025-04-07T09:41:10.936Z",
"updatedAt": "2025-04-07T09:41:10.936Z"
}
],
"nodes": [
{
"id": "6b5f9234-351f-4f6b-a0ab-f0d30897f60a",
"name": "Convert to File",
"type": "n8n-nodes-base.convertToFile",
"position": [
320,
400
],
"parameters": {
"options": {},
"operation": "toBinary",
"sourceProperty": "b64_json"
},
"typeVersion": 1.1
},
{
"id": "9c60f827-bf37-486b-9026-0cbe97fd83b6",
"name": "OpenAI - Generate Image",
"type": "n8n-nodes-base.httpRequest",
"position": [
-120,
400
],
"parameters": {
"url": "https://api.openai.com/v1/images/generations",
"method": "POST",
"options": {},
"jsonBody": "={
\"model\": \"{{ $json.openai_image_model }}\",
\"prompt\": \"{{ $json.image_prompt }}\",
\"n\": {{ $json.number_of_images }},
\"size\": \"{{ $json.size_of_image }}\",
\"quality\": \"{{ $json.quality_of_image }}\"
}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "predefinedCredentialType",
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
}
]
},
"nodeCredentialType": "openAiApi"
},
"credentials": {
"openAiApi": {
"id": "KzjXYSuzUOCnnvzB",
"name": "OpenAi account"
}
},
"typeVersion": 4.2
},
{
"id": "2dd04b96-5faf-48ec-a7b0-66a31866388d",
"name": "When clicking ‘Test workflow’",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-560,
400
],
"parameters": {},
"typeVersion": 1
},
{
"id": "629799c0-d2ff-4c5a-95d8-54d5afd3ac66",
"name": "Set Variables",
"type": "n8n-nodes-base.set",
"position": [
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],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "2a5d52c2-5af1-4796-acba-4e1807fc7d7b",
"name": "image_prompt",
"type": "string",
"value": "a 4-frame cartoon strip telling a joke about AI"
},
{
"id": "c41a8091-d952-4f5a-ae24-3b0691bbce57",
"name": "number_of_images",
"type": "number",
"value": 2
},
{
"id": "00feec5a-19c8-43af-bf93-e0729d1391f8",
"name": "quality_of_image",
"type": "string",
"value": "high"
},
{
"id": "1b359a11-c05a-49c8-aa27-402b145fcbc1",
"name": "size_of_image",
"type": "string",
"value": "1024x1024"
},
{
"id": "6cf4ba85-d11a-48bb-9eaf-4084c9538d87",
"name": "openai_image_model",
"type": "string",
"value": "=gpt-image-1"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "5f4e4bbe-7331-42dc-86a3-5d9de658ea07",
"name": "Separate Image Outputs",
"type": "n8n-nodes-base.splitOut",
"position": [
100,
400
],
"parameters": {
"options": {},
"fieldToSplitOut": "data"
},
"typeVersion": 1
},
{
"id": "0c0310a4-f354-4810-a967-ea002be09cc4",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-600,
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],
"parameters": {
"width": 1140,
"height": 220,
"content": "## [CLICK HERE to Watch Video](https://youtu.be/YmDezgolqzU?si=BgMjRm55-T_CYAs7)
OpenAI just dropped API access for their new image generation — and it changes everything. In this quick walkthrough, I show you exactly how to integrate it with n8n using an HTTP request node. Learn how to send prompts, convert base64 to binary, and automate image handling. This is a big one. Don’t miss it.
🔗 Official API Overview: https://openai.com/index/image-generation-api/
🔗 API Reference – Create Image: https://platform.openai.com/docs/api-reference/images/create
### *New: Make.com scenario here: https://drive.google.com/file/d/1Uz-mA0LnUZ_tnUWBR2AAlVxs3LBlGKfk/view?usp=sharing
"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "c7fef832-b7ba-4cb1-ad36-7a82f81a7f90",
"connections": {
"Set Variables": {
"main": [
[
{
"node": "OpenAI - Generate Image",
"type": "main",
"index": 0
}
]
]
},
"Separate Image Outputs": {
"main": [
[
{
"node": "Convert to File",
"type": "main",
"index": 0
}
]
]
},
"OpenAI - Generate Image": {
"main": [
[
{
"node": "Separate Image Outputs",
"type": "main",
"index": 0
}
]
]
},
"When clicking ‘Test workflow’": {
"main": [
[
{
"node": "Set Variables",
"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
- Converttofile
- Httprequest
- Manualtrigger
- Set
- Splitout
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
- 在n8n中导入工作流JSON文件
- 配置Gmail节点的认证信息
- 设置AI分类器的API密钥
- 自定义分类规则和标签映射
- 测试工作流执行
- 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