The workflow JSON
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{
"createdAt": "2025-07-14T19:04:35.204Z",
"updatedAt": "2025-07-14T19:04:35.204Z",
"id": "AJcl5Fq5ND2bqoro",
"name": "100-Automated_Stock_Analysis_Reports_with_Technical___News_Sentiment_using_GPT_4o",
"active": false,
"isArchived": false,
"nodes": [
{
"parameters": {
"mode": "combine",
"combineBy": "combineByPosition",
"options": {}
},
"id": "d0e10574-4b8a-449c-b6c0-5147a2e4a64e",
"name": "Merge",
"type": "n8n-nodes-base.merge",
"position": [
0,
120
],
"typeVersion": 3
},
{
"parameters": {
"respondWith": "text",
"responseBody": "={{ $json.html }}",
"options": {}
},
"id": "8e07ddf6-4f22-48d3-be26-22a6125139c7",
"name": "Respond to Webhook",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
580,
120
],
"typeVersion": 1.1
},
{
"parameters": {
"amount": 3
},
"id": "c4b47195-1fa3-43da-8ac6-b99e273cec0c",
"name": "Wait 3 sec",
"type": "n8n-nodes-base.wait",
"position": [
-20,
680
],
"typeVersion": 1.1
},
{
"parameters": {
"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"
}
]
},
"options": {}
},
"id": "688c91b9-d6db-453b-a11e-abc3746c982d",
"name": "Is Ready?",
"type": "n8n-nodes-base.if",
"position": [
400,
680
],
"typeVersion": 2.2
},
{
"parameters": {
"content": "# Deliver the editor with links to the images",
"height": 479,
"width": 1193
},
"id": "ea7ff9df-c543-43d2-a501-ecb39259e3ca",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-420,
-100
],
"typeVersion": 1
},
{
"parameters": {
"method": "POST",
"url": "https://api.bfl.ml/v1/flux-pro-1.0-fill",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"sendBody": true,
"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] }}"
}
]
},
"options": {}
},
"id": "2bf8b5f6-d7f6-41a9-9e3c-b932f995d36a",
"name": "FLUX Fill",
"type": "n8n-nodes-base.httpRequest",
"position": [
-280,
680
],
"typeVersion": 4.2
},
{
"parameters": {
"url": "https://api.bfl.ml/v1/get_result",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"sendQuery": true,
"queryParameters": {
"parameters": [
{
"name": "id",
"value": "={{ $json.id }}"
}
]
},
"options": {}
},
"id": "0d90636b-ce3e-46fd-9138-863ba704fab0",
"name": "Check FLUX status",
"type": "n8n-nodes-base.httpRequest",
"position": [
180,
680
],
"typeVersion": 4.2
},
{
"parameters": {
"url": "={{ $json.result.sample }}",
"options": {}
},
"id": "51bdb84e-6d32-4f46-ab97-110cc75beafa",
"name": "Get Fill Image",
"type": "n8n-nodes-base.httpRequest",
"position": [
620,
780
],
"typeVersion": 4.2
},
{
"parameters": {
"respondWith": "binary",
"responseDataSource": "set",
"options": {
"responseHeaders": {
"entries": [
{
"name": "Content-Type",
"value": "={{ $binary.data.mimeType }}"
}
]
}
}
},
"id": "e58680ef-b790-4171-9db1-569221694319",
"name": "Show the image to user",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
960,
780
],
"typeVersion": 1.1
},
{
"parameters": {
"content": "# Image processing part",
"height": 502,
"width": 1142,
"color": 4
},
"id": "e44c9372-2666-4899-93a9-de33892a31e7",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-380,
420
],
"typeVersion": 1
},
{
"parameters": {
"content": "# Send back edited image\n## Add extra steps to save an edited image",
"height": 272,
"width": 506
},
"id": "8be3f835-abaa-4476-b01a-e98775d3e70c",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
780,
660
],
"typeVersion": 1
},
{
"parameters": {
"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}}"
}
]
},
"options": {}
},
"id": "12aa00fa-a117-4dea-aced-bf151a54c0e0",
"name": "Mockups",
"type": "n8n-nodes-base.set",
"position": [
-280,
220
],
"typeVersion": 3.4
},
{
"parameters": {
"multipleMethods": true,
"path": "flux-fill",
"responseMode": "responseNode",
"options": {}
},
"id": "8eedf624-055c-4282-b599-dfa3d13c9fa2",
"name": "Webhook",
"type": "n8n-nodes-base.webhook",
"position": [
-680,
120
],
"typeVersion": 2
},
{
"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"
},
"id": "07fd4ec6-a84a-46c4-a52a-d664099a660e",
"name": "Editor page",
"type": "n8n-nodes-base.html",
"position": [
300,
120
],
"typeVersion": 1.2
},
{
"parameters": {
"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",
"height": 340,
"width": 360,
"color": 5
},
"id": "4d2cf893-76b3-4c42-8234-428b8d9f58ea",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-400,
20
],
"typeVersion": 1
},
{
"parameters": {
"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",
"height": 300,
"width": 400,
"color": 5
},
"id": "eaebcf28-06da-4b5d-ab56-01c72f4d3299",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
140,
-20
],
"typeVersion": 1
},
{
"parameters": {
"content": "## Call FLUX-Fill Tool\nPass the following data:\n* original image\n* alpha mask from the editor\n* text prompt\n* additional settings",
"height": 340,
"width": 280,
"color": 5
},
"id": "441d5a51-b777-4e59-be9d-31157f136876",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-360,
500
],
"typeVersion": 1
},
{
"parameters": {},
"id": "68b074e5-f5c4-4ed6-82fe-fe6685dee73d",
"name": "NO OP",
"type": "n8n-nodes-base.noOp",
"position": [
-520,
680
],
"typeVersion": 1
}
],
"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
}
]
]
}
},
"settings": {
"executionOrder": "v1"
},
"staticData": null,
"meta": {
"templateCredsSetupCompleted": true
},
"versionId": "5b68ed10-d092-40c0-ac6c-96e912b7018b",
"triggerCount": 0,
"shared": [
{
"createdAt": "2025-09-03T06:21:15.756Z",
"updatedAt": "2025-09-03T06:21:15.756Z",
"role": "workflow:owner",
"workflowId": "AJcl5Fq5ND2bqoro",
"projectId": "DUObCiOoOXJuG68P"
}
],
"tags": [
{
"createdAt": "2025-07-09T21:41:38.773Z",
"updatedAt": "2025-07-09T21:41:38.773Z",
"id": "G5Lcoe2jTgqCJuSy",
"name": "OpenAI"
},
{
"createdAt": "2025-07-09T23:31:21.052Z",
"updatedAt": "2025-07-09T23:31:21.052Z",
"id": "JXtwH1KWn3HpvHrm",
"name": "templates"
},
{
"createdAt": "2025-07-09T23:31:21.059Z",
"updatedAt": "2025-07-09T23:31:21.059Z",
"id": "giPr8wYqaJHn1OWx",
"name": "creator"
},
{
"createdAt": "2025-07-09T21:41:38.763Z",
"updatedAt": "2025-07-09T21:41:38.763Z",
"id": "pz5LfYMpyppJnoPT",
"name": "WooCommerce"
}
]
}
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About this workflow
100-Automated_Stock_Analysis_Reports_with_Technical___News_Sentiment_using_GPT_4o. Uses httpRequest. Webhook trigger; 18 nodes.
Source: https://github.com/Abdul-hannan-coder/n8n-workflow-backup/blob/main/Backup_2025-10-10/100-Automated_Stock_Analysis_Reports_with_Technical___News_Sentiment_using_GPT_4o.json — original creator credit. Request a take-down →
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