FLUX-fill standalone
工作流概述
这是一个包含18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
{
"id": "OvuZIXwt9mdU2JGK",
"meta": {
"instanceId": "fb924c73af8f703905bc09c9ee8076f48c17b596ed05b18c0ff86915ef8a7c4a",
"templateCredsSetupCompleted": true
},
"name": "FLUX-fill standalone",
"tags": [],
"nodes": [
{
"id": "9f051c89-0243-48fb-baa4-666af3fe54b3",
"name": "Merge",
"type": "n8n-nodes-base.merge",
"position": [
940,
120
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineByPosition"
},
"typeVersion": 3
},
{
"id": "5da963f7-4320-4359-aefa-bf8f6d6ef815",
"name": "Respond to Webhook",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
1520,
120
],
"parameters": {
"options": {},
"respondWith": "text",
"responseBody": "={{ $json.html }}"
},
"typeVersion": 1.1
},
{
"id": "05d877bc-b591-478c-b112-32b7efe1ca3f",
"name": "Wait 3 sec",
"type": "n8n-nodes-base.wait",
"position": [
920,
680
],
"webhookId": "90f31c1f-6707-4f2f-b525-d3961432cd81",
"parameters": {
"amount": 3
},
"typeVersion": 1.1
},
{
"id": "a3cc4a50-4218-4a01-ab20-151fd707dd66",
"name": "Is Ready?",
"type": "n8n-nodes-base.if",
"position": [
1340,
680
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "3cf5b451-9ff5-4c2a-864f-9aa7d286871a",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "Ready"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "76a2dcd4-0e57-461d-a8b9-8f52baa3f86a",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
520,
-100
],
"parameters": {
"width": 1193,
"height": 479,
"content": "# Deliver the editor with links to the images"
},
"typeVersion": 1
},
{
"id": "b32e8e0b-a449-47d9-8de4-c0062235ff99",
"name": "FLUX Fill",
"type": "n8n-nodes-base.httpRequest",
"position": [
660,
680
],
"parameters": {
"url": "https://api.bfl.ml/v1/flux-pro-1.0-fill",
"method": "POST",
"options": {},
"sendBody": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "prompt",
"value": "={{ $json.body.prompt }}"
},
{
"name": "steps",
"value": "={{ $json.body.steps }}"
},
{
"name": "prompt_upsampling",
"value": "={{ $json.body.prompt_upsampling }}"
},
{
"name": "guidance",
"value": "={{ $json.body.guidance }}"
},
{
"name": "output_format",
"value": "png"
},
{
"name": "safety_tolerance",
"value": "6"
},
{
"name": "image",
"value": "={{ $json.body.image.split(',')[1] }}"
},
{
"name": "mask",
"value": "={{ $json.body.mask.split(',')[1] }}"
}
]
},
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"id": "4eQN9wBw8SniKcPw",
"name": "bfl-FLUX"
}
},
"typeVersion": 4.2
},
{
"id": "d7d70191-5316-4f20-b570-b8f138b77762",
"name": "Check FLUX status",
"type": "n8n-nodes-base.httpRequest",
"position": [
1120,
680
],
"parameters": {
"url": "https://api.bfl.ml/v1/get_result",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"queryParameters": {
"parameters": [
{
"name": "id",
"value": "={{ $json.id }}"
}
]
}
},
"credentials": {
"httpHeaderAuth": {
"id": "4eQN9wBw8SniKcPw",
"name": "bfl-FLUX"
}
},
"typeVersion": 4.2
},
{
"id": "dafc2712-114f-4723-b587-08ff853513f5",
"name": "Get Fill Image",
"type": "n8n-nodes-base.httpRequest",
"position": [
1560,
780
],
"parameters": {
"url": "={{ $json.result.sample }}",
"options": {}
},
"typeVersion": 4.2
},
{
"id": "68672890-62c3-4020-a09c-9ea691cba361",
"name": "Show the image to user",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
1900,
780
],
"parameters": {
"options": {
"responseHeaders": {
"entries": [
{
"name": "Content-Type",
"value": "={{ $binary.data.mimeType }}"
}
]
}
},
"respondWith": "binary",
"responseDataSource": "set"
},
"typeVersion": 1.1
},
{
"id": "7546ce49-56e9-44fd-96fd-324831f38f32",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
560,
420
],
"parameters": {
"color": 4,
"width": 1142,
"height": 502,
"content": "# Image processing part"
},
"typeVersion": 1
},
{
"id": "cee89c8c-7b88-4cc5-84e4-eb7b404e5042",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1720,
660
],
"parameters": {
"width": 506,
"height": 272,
"content": "# Send back edited image
## Add extra steps to save an edited image"
},
"typeVersion": 1
},
{
"id": "a340cd78-56dd-4ac8-a1c1-f3fc03771ae6",
"name": "Mockups",
"type": "n8n-nodes-base.set",
"position": [
660,
220
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "20c39c67-3cf8-4e29-b871-3202f2e20a3c",
"name": "Images",
"type": "array",
"value": "={{
[
{\"url\":\"https://byuroscope.fra1.digitaloceanspaces.com/nc/uploads/noco/fluxtest/creative-arrangement-minimalist-podium_23-2148959328.jpg\",
\"title\":\"Stage\" },
{\"url\":\"https://byuroscope.fra1.digitaloceanspaces.com/nc/uploads/noco/fluxtest/Standing-Big-Paper-Bag-Mockup.jpg\",
\"title\":\"Paper Bag\" },
{\"url\":\"https://byuroscope.fra1.digitaloceanspaces.com/nc/uploads/noco/fluxtest/Ceramic-Mug-on-Table-Mockup.jpg\",
\"title\":\"Big Mug\" },
{\"url\":\"https://byuroscope.fra1.digitaloceanspaces.com/nc/uploads/noco/fluxtest/Transparent-Bottle-on-Sunny-Beach-Mockup-D.jpg\",
\"title\":\"Transparent-Bottle\" },
{\"url\":\"https://byuroscope.fra1.digitaloceanspaces.com/nc/uploads/noco/fluxtest/skin-products-arrangement-wooden-blocks_23-2148761445.jpg\",
\"title\":\"Cosmetics\" }
]
}}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "da82cb73-af4a-4042-bf4e-17894155fb87",
"name": "Webhook",
"type": "n8n-nodes-base.webhook",
"position": [
260,
120
],
"webhookId": "9c864ee6-e4d3-46e7-98d4-bea43739963e",
"parameters": {
"path": "flux-fill",
"options": {},
"responseMode": "responseNode",
"multipleMethods": true
},
"typeVersion": 2
},
{
"id": "0f35da2f-112c-45f9-9cbe-d64eb8bdc6d8",
"name": "Editor page",
"type": "n8n-nodes-base.html",
"position": [
1240,
120
],
"parameters": {
"html": "<!DOCTYPE html>
<html lang=\"en\">
<head>
<meta charset=\"UTF-8\">
<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">
<title>Konva Image Editor</title>
<script src=\"https://unpkg.com/konva@9/konva.min.js\"></script>
<script defer src=\"https://unpkg.com/img-comparison-slider@8/dist/index.js\"></script>
<link rel=\"stylesheet\" href=\"https://unpkg.com/img-comparison-slider@8/dist/styles.css\" />
<link rel=\"stylesheet\" href=\"https://cdn.jsdelivr.net/gh/ed-parsadanyan/n8n-flux-fill-demo/flux-fill-style.css\" />
<script src=\"https://cdn.jsdelivr.net/gh/ed-parsadanyan/n8n-flux-fill-demo/flux-fill-canvas.js\"></script>
</head>
<body>
<div class=\"controls-wrapper\">
<div class=\"left-panel\">
<div class=\"image-controls\">
<select id=\"imageSelector\">
<option value=\"\">Select an image...</option>
<option value=\"local\">Load from PC...</option>
</select>
<input type=\"file\" id=\"fileInput\" style=\"display: none\" accept=\"image/*\">
<button id=\"clearButton\">Clear All</button>
</div>
<div class=\"brush-controls\">
<label for=\"brushSize\" title=\"Use mouse wheel to adjust brush size\">Brush Size:</label>
<div class=\"slider-container\">
<input type=\"range\" id=\"brushSize\" min=\"5\" max=\"40\" value=\"20\">
<span class=\"slider-value\" id=\"brushSizeValue\">20px</span>
</div>
</div>
</div>
<div class=\"right-panel\">
<div class=\"prompt-row\">
<input type=\"text\" id=\"promptInput\" placeholder=\"Enter your prompt (optional)\">
</div>
<div class=\"main-controls\">
<label class=\"checkbox-container\">
<input type=\"checkbox\" id=\"improvePrompt\" checked>
<span>Improve prompt</span>
</label>
<div>
<button id=\"sendButton\">Generate</button>
<span class=\"loading\" id=\"loadingIndicator\">Processing...</span>
</div>
</div>
<div class=\"parameters\">
<div class=\"slider-container\">
<label for=\"stepsSlider\">Steps:</label>
<input type=\"range\" id=\"stepsSlider\" min=\"15\" max=\"50\" value=\"40\">
<span class=\"slider-value\" id=\"stepsValue\">40</span>
</div>
<div class=\"slider-container\">
<label for=\"guidanceSlider\">Guidance:</label>
<input type=\"range\" id=\"guidanceSlider\" min=\"1.5\" max=\"100\" value=\"60\" step=\"0.1\">
<span class=\"slider-value\" id=\"guidanceValue\">60.0</span>
</div>
</div>
</div>
</div>
<div class=\"info\" id=\"imageInfo\"></div>
<div id=\"container\"></div>
<div id=\"cursor\"></div>
<div id=\"resultModal\" class=\"modal\">
<div class=\"modal-content\">
<div class=\"modal-image-container\">
<div class=\"comparison-container\">
<div class=\"image-container\">
<img class=\"image-before\" id=\"originalImage\" src=\"\" alt=\"Original\">
<img class=\"image-after\" id=\"resultImage\" src=\"\" alt=\"Generated\">
</div>
<input type=\"range\" min=\"0\" max=\"100\" value=\"10\" class=\"slider\">
<div class=\"slider-line\"></div>
<div class=\"slider-button\" aria-hidden=\"true\">
< >
</div>
<div class=\"labels\">
<div class=\"label-before\">Original</div>
<div class=\"label-after\">Generated</div>
</div>
</div>
</div>
<div class=\"modal-buttons\">
<button id=\"reuseButton\">Use Generated</button>
<button id=\"saveButton\">Save Image</button>
<button id=\"closeButton\">Close</button>
</div>
</div>
</div>
<script>
const urlParams = new URLSearchParams(window.location.search);
const pageId = urlParams.get('id');
// Image data will be populated by n8n
const imageData = {{ JSON.stringify($json.Images,'',2) }};
const webhookUrl = '{{ $json.webhookUrl }}';
// Initialize the editor when the page loads
document.addEventListener('DOMContentLoaded', function() {
initializeEditor({
images: imageData,
webhookUrl: webhookUrl,
pageId: pageId
});
});
</script>
</body>
</html>
"
},
"typeVersion": 1.2
},
{
"id": "2ff87261-8a7f-451e-b8ae-b4274776ce28",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
540,
20
],
"parameters": {
"color": 5,
"width": 360,
"height": 340,
"content": "## Image array
* Load from PC
* Select one of the default images
### Change this node to
### get image URLs from your data source"
},
"typeVersion": 1
},
{
"id": "08bb17fd-1440-4194-8c4f-e18222a68bf2",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1080,
-20
],
"parameters": {
"color": 5,
"width": 400,
"height": 300,
"content": "## HTML code of the editor
* Konva.js
* img-comparison-slider to compare edits vs original file
* Additional css + js files for the editor logic"
},
"typeVersion": 1
},
{
"id": "13a820d0-e83b-4d1e-81d1-738ef8ca4d47",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
580,
500
],
"parameters": {
"color": 5,
"width": 280,
"height": 340,
"content": "## Call FLUX-Fill Tool
Pass the following data:
* original image
* alpha mask from the editor
* text prompt
* additional settings"
},
"typeVersion": 1
},
{
"id": "f4ab042c-d4da-4f1e-aa05-fdd2cca62d66",
"name": "NO OP",
"type": "n8n-nodes-base.noOp",
"position": [
420,
680
],
"parameters": {},
"typeVersion": 1
}
],
"active": true,
"pinData": {
"Webhook": []
},
"settings": {
"callerPolicy": "workflowsFromSameOwner",
"executionOrder": "v1",
"executionTimeout": 120,
"saveDataSuccessExecution": "all"
},
"versionId": "6d4112be-fb6f-4702-ac5f-2c49ff0117d4",
"connections": {
"Merge": {
"main": [
[
{
"node": "Editor page",
"type": "main",
"index": 0
}
]
]
},
"NO OP": {
"main": [
[
{
"node": "FLUX Fill",
"type": "main",
"index": 0
}
]
]
},
"Mockups": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"Webhook": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
},
{
"node": "Mockups",
"type": "main",
"index": 0
}
],
[
{
"node": "NO OP",
"type": "main",
"index": 0
}
]
]
},
"FLUX Fill": {
"main": [
[
{
"node": "Wait 3 sec",
"type": "main",
"index": 0
}
]
]
},
"Is Ready?": {
"main": [
[
{
"node": "Get Fill Image",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait 3 sec",
"type": "main",
"index": 0
}
]
]
},
"Wait 3 sec": {
"main": [
[
{
"node": "Check FLUX status",
"type": "main",
"index": 0
}
]
]
},
"Editor page": {
"main": [
[
{
"node": "Respond to Webhook",
"type": "main",
"index": 0
}
]
]
},
"Get Fill Image": {
"main": [
[
{
"node": "Show the image to user",
"type": "main",
"index": 0
}
]
]
},
"Check FLUX status": {
"main": [
[
{
"node": "Is Ready?",
"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
- Merge
- Respondtowebhook
- Wait
- If
- Stickynote
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