The workflow JSON
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{
"id": "OvuZIXwt9mdU2JGK",
"meta": {
"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
],
"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": {
"name": "<your credential>"
}
},
"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": {
"name": "<your credential>"
}
},
"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\n## 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": "={{\n[\n{\"url\":\"https://byuroscope.fra1.digitaloceanspaces.com/nc/uploads/noco/fluxtest/creative-arrangement-minimalist-podium_23-2148959328.jpg\",\n \"title\":\"Stage\" },\n{\"url\":\"https://byuroscope.fra1.digitaloceanspaces.com/nc/uploads/noco/fluxtest/Standing-Big-Paper-Bag-Mockup.jpg\",\n \"title\":\"Paper Bag\" },\n{\"url\":\"https://byuroscope.fra1.digitaloceanspaces.com/nc/uploads/noco/fluxtest/Ceramic-Mug-on-Table-Mockup.jpg\",\n \"title\":\"Big Mug\" },\n{\"url\":\"https://byuroscope.fra1.digitaloceanspaces.com/nc/uploads/noco/fluxtest/Transparent-Bottle-on-Sunny-Beach-Mockup-D.jpg\",\n \"title\":\"Transparent-Bottle\" },\n{\"url\":\"https://byuroscope.fra1.digitaloceanspaces.com/nc/uploads/noco/fluxtest/skin-products-arrangement-wooden-blocks_23-2148761445.jpg\",\n \"title\":\"Cosmetics\" }\n]\n}}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "da82cb73-af4a-4042-bf4e-17894155fb87",
"name": "Webhook",
"type": "n8n-nodes-base.webhook",
"position": [
260,
120
],
"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>\n<html lang=\"en\">\n<head>\n <meta charset=\"UTF-8\">\n <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <title>Konva Image Editor</title>\n <script src=\"https://unpkg.com/konva@9/konva.min.js\"></script>\n <script defer src=\"https://unpkg.com/img-comparison-slider@8/dist/index.js\"></script>\n <link rel=\"stylesheet\" href=\"https://unpkg.com/img-comparison-slider@8/dist/styles.css\" />\n <link rel=\"stylesheet\" href=\"https://cdn.jsdelivr.net/gh/ed-parsadanyan/n8n-flux-fill-demo/flux-fill-style.css\" />\n <script src=\"https://cdn.jsdelivr.net/gh/ed-parsadanyan/n8n-flux-fill-demo/flux-fill-canvas.js\"></script>\n</head>\n<body>\n <div class=\"controls-wrapper\">\n <div class=\"left-panel\">\n <div class=\"image-controls\">\n <select id=\"imageSelector\">\n <option value=\"\">Select an image...</option>\n <option value=\"local\">Load from PC...</option>\n </select>\n <input type=\"file\" id=\"fileInput\" style=\"display: none\" accept=\"image/*\">\n <button id=\"clearButton\">Clear All</button>\n </div>\n \n <div class=\"brush-controls\">\n <label for=\"brushSize\" title=\"Use mouse wheel to adjust brush size\">Brush Size:</label>\n <div class=\"slider-container\">\n <input type=\"range\" id=\"brushSize\" min=\"5\" max=\"40\" value=\"20\">\n <span class=\"slider-value\" id=\"brushSizeValue\">20px</span>\n </div>\n </div>\n </div>\n\n <div class=\"right-panel\">\n <div class=\"prompt-row\">\n <input type=\"text\" id=\"promptInput\" placeholder=\"Enter your prompt (optional)\">\n </div>\n \n <div class=\"main-controls\">\n <label class=\"checkbox-container\">\n <input type=\"checkbox\" id=\"improvePrompt\" checked>\n <span>Improve prompt</span>\n </label>\n \n <div>\n <button id=\"sendButton\">Generate</button>\n <span class=\"loading\" id=\"loadingIndicator\">Processing...</span>\n </div>\n </div>\n \n <div class=\"parameters\">\n <div class=\"slider-container\">\n <label for=\"stepsSlider\">Steps:</label>\n <input type=\"range\" id=\"stepsSlider\" min=\"15\" max=\"50\" value=\"40\">\n <span class=\"slider-value\" id=\"stepsValue\">40</span>\n </div>\n \n <div class=\"slider-container\">\n <label for=\"guidanceSlider\">Guidance:</label>\n <input type=\"range\" id=\"guidanceSlider\" min=\"1.5\" max=\"100\" value=\"60\" step=\"0.1\">\n <span class=\"slider-value\" id=\"guidanceValue\">60.0</span>\n </div>\n </div>\n </div>\n </div>\n\n <div class=\"info\" id=\"imageInfo\"></div>\n <div id=\"container\"></div>\n <div id=\"cursor\"></div>\n\n <div id=\"resultModal\" class=\"modal\">\n <div class=\"modal-content\">\n <div class=\"modal-image-container\">\n <div class=\"comparison-container\">\n <div class=\"image-container\">\n <img class=\"image-before\" id=\"originalImage\" src=\"\" alt=\"Original\">\n <img class=\"image-after\" id=\"resultImage\" src=\"\" alt=\"Generated\">\n </div>\n <input type=\"range\" min=\"0\" max=\"100\" value=\"10\" class=\"slider\">\n <div class=\"slider-line\"></div>\n <div class=\"slider-button\" aria-hidden=\"true\">\n < >\n </div>\n <div class=\"labels\">\n <div class=\"label-before\">Original</div>\n <div class=\"label-after\">Generated</div>\n </div>\n </div>\n </div>\n <div class=\"modal-buttons\">\n <button id=\"reuseButton\">Use Generated</button>\n <button id=\"saveButton\">Save Image</button>\n <button id=\"closeButton\">Close</button>\n </div>\n </div>\n </div>\n\n<script>\n const urlParams = new URLSearchParams(window.location.search);\n const pageId = urlParams.get('id');\n\n // Image data will be populated by n8n\n const imageData = {{ JSON.stringify($json.Images,'',2) }};\n const webhookUrl = '{{ $json.webhookUrl }}';\n\n // Initialize the editor when the page loads\n document.addEventListener('DOMContentLoaded', function() {\n initializeEditor({\n images: imageData,\n webhookUrl: webhookUrl,\n pageId: pageId\n });\n });\n</script>\n</body>\n</html>\n"
},
"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\n* Load from PC\n* Select one of the default images\n\n### Change this node to\n### 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\n* Konva.js\n* img-comparison-slider to compare edits vs original file\n* 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\nPass the following data:\n* original image\n* alpha mask from the editor\n* text prompt\n* 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,
"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
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
httpHeaderAuth
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
How this works
This workflow enables you to generate and retrieve AI-powered image inpainting results using the FLUX Fill API, delivering high-quality edits to images based on textual prompts without needing complex setups. It's ideal for designers, content creators, or developers seeking a simple way to automate image enhancements, such as filling in missing parts or modifying elements seamlessly. The key step involves sending an HTTP request to the FLUX Fill endpoint after a brief wait, followed by polling the status until the processed image is ready for download, all triggered by an incoming webhook for easy integration into your apps.
Use this workflow when you need a lightweight, standalone solution for occasional image inpainting tasks via API calls, especially if you're already handling webhooks in your system. Avoid it for high-volume production needs, where a more robust queueing system might be necessary to manage API rate limits. Common variations include adding preprocessing nodes to resize input images or integrating with storage services like Google Drive to automatically save the output.
About this workflow
FLUX-fill standalone. Uses respondToWebhook, stickyNote, httpRequest, html. Webhook trigger; 18 nodes.
Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →
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