Transform Image to Lego Style Using Line and Dall-E
工作流概述
这是一个包含5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
{
"meta": {
"instanceId": "c59c4acfed171bdc864e7c432be610946898c3ee271693e0303565c953d88c1d",
"templateCredsSetupCompleted": true
},
"name": "Transform Image to Lego Style Using Line and Dall-E",
"tags": [],
"nodes": [
{
"id": "82b62d4e-a263-4232-9bae-4c581db2269c",
"name": "Receive a Line Webhook",
"type": "n8n-nodes-base.webhook",
"position": [
0,
0
],
"webhookId": "2a27c148-3977-485f-b197-567c96671023",
"parameters": {
"path": "lineimage",
"options": {},
"httpMethod": "POST"
},
"typeVersion": 2
},
{
"id": "f861c4eb-3d4f-4253-810f-8032602f079b",
"name": "Receive Line Messages",
"type": "n8n-nodes-base.httpRequest",
"position": [
220,
0
],
"parameters": {
"url": "=https://api-data.line.me/v2/bot/message/{{ $json.body.events[0].message.id }}/content",
"options": {},
"jsonHeaders": "={
\"Authorization\": \"Bearer YOUR_LINE_BOT_TOKEN\",
\"Content-Type\": \"application/json\"
}",
"sendHeaders": true,
"specifyHeaders": "json"
},
"typeVersion": 4.2
},
{
"id": "da3a9188-028d-4c75-b23f-5f1f4e50784c",
"name": "Creating an Image using Dall-E",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
860,
0
],
"parameters": {
"prompt": "={{ $json.content }}",
"options": {
"returnImageUrls": true
},
"resource": "image"
},
"credentials": {
"openAiApi": {
"id": "YOUR_OPENAI_CREDENTIAL_ID",
"name": "OpenAi account"
}
},
"typeVersion": 1.7
},
{
"id": "36c826e5-eacd-43ad-b663-4d788005e61a",
"name": "Creating a Prompt for Dall-E (Lego Style)",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
540,
0
],
"parameters": {
"text": "Creating the DALL·E 3 prompt to transform this kind of image into a isometric LEGO image (Only provide me with a prompt).",
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini",
"cachedResultName": "GPT-4O-MINI"
},
"options": {},
"resource": "image",
"inputType": "base64",
"operation": "analyze",
"binaryPropertyName": "=data"
},
"credentials": {
"openAiApi": {
"id": "YOUR_OPENAI_CREDENTIAL_ID",
"name": "OpenAi account"
}
},
"typeVersion": 1.7
},
{
"id": "3c19f931-9ca0-4bd7-b4eb-1628d89bbba1",
"name": "Send Back an Image through Line",
"type": "n8n-nodes-base.httpRequest",
"position": [
1160,
0
],
"parameters": {
"url": "https://api.line.me/v2/bot/message/reply",
"method": "POST",
"options": {},
"jsonBody": "={
\"replyToken\": \"{{ $('Receive a Line Webhook').item.json.body.events[0].replyToken }}\",
\"messages\": [
{
\"type\": \"image\",
\"originalContentUrl\": \"{{ $json.url }}\",
\"previewImageUrl\": \"{{ $json.url }}\"
}
]
}",
"sendBody": true,
"jsonHeaders": "{
\"Authorization\": \"Bearer YOUR_LINE_BOT_TOKEN\",
\"Content-Type\": \"application/json\"
}",
"sendHeaders": true,
"specifyBody": "json",
"specifyHeaders": "json"
},
"typeVersion": 4.2
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "",
"connections": {
"Receive Line Messages": {
"main": [
[
{
"node": "Creating a Prompt for Dall-E (Lego Style)",
"type": "main",
"index": 0
}
]
]
},
"Receive a Line Webhook": {
"main": [
[
{
"node": "Receive Line Messages",
"type": "main",
"index": 0
}
]
]
},
"Creating an Image using Dall-E": {
"main": [
[
{
"node": "Send Back an Image through Line",
"type": "main",
"index": 0
}
]
]
},
"Creating a Prompt for Dall-E (Lego Style)": {
"main": [
[
{
"node": "Creating an Image using Dall-E",
"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
- Webhook
- Httprequest
- @N8N/N8N Nodes Langchain.Openai
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