inderjeet Bhambra This workflow corresponds to n8n.io template #9853 — we link there as the canonical source.
This workflow follows the HTTP Request → OpenAI recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"id": "PwD9bKQiuu5Rtufl",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "AI Image Generation with MagicHour",
"tags": [],
"nodes": [
{
"id": "f00a60e4-3025-4561-8e82-a737b69ce1e6",
"name": "Webhook",
"type": "n8n-nodes-base.webhook",
"position": [
-2208,
-960
],
"parameters": {
"path": "generate-image",
"options": {
"allowedOrigins": "*"
},
"httpMethod": "POST",
"responseMode": "responseNode"
},
"typeVersion": 2.1
},
{
"id": "6ee2c66f-5cb2-43ca-9cae-c73bb908d1fb",
"name": "Generate Image Prompt",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
-1344,
-1232
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1",
"cachedResultName": "GPT-4.1"
},
"options": {
"topP": 1,
"temperature": 0.5
},
"messages": {
"values": [
{
"content": "=Generate a comprehensive and detailed image generation prompt from {{ $json.body.prompt }} for AI image generation model as input. Use the following information:\n\n**Subject**: AI generated\n**Image Count**: {{ $json.body.parameters.image_count }}\n**Orientation**: {{ $json.body.parameters.orientation }}\n**Style**: {{ $json.body.parameters.style.tool }}"
},
{
"role": "system",
"content": "=## Purpose\nYou are a prompt-generation agent. Your task is to convert structured user input into a clean, descriptive prompt suitable for text-to-image generation models (e.g., RunwayML, Stability AI, Midjourney). You do not generate images yourself. You must never invent or infer content beyond what is explicitly provided.\n\n---\n\n## Generate Subject\n- **Subject**: \n - **ANALYZE** the user prompt carefully to create a subject. Make sure the subject is precisely inline with user expectation and their tone. \n\n## Generate Characters\n- **Character list**: \n - Create a character list based on their roles in the user prompt\n - Create authentic appearance, clothing when any religious prompt is provided\n\n## Output Requirements\n- Generate a **non-empty prompt** that is **\u22641000 characters**, measured in UTF-16 code units.\n- The prompt must be:\n - Grammatically correct\n - Visually descriptive\n - Free of filler, emotional tone, or interpretation unless explicitly provided\n - Strictly limited to elements present in the input\n - NO USE OF \"\". ONLY use ''\n\n---\n\n## Input Expectations\nYou will receive structured input containing:\n- **Style**: visual style (e.g., realistic, cinematic, flat vector, watercolor)\n- **Scene details**: setting, objects, characters\n- **Text overlays** (if any): exact wording and placementl\n- **Aspect ratio or dimensions** (optional)\n\nIf any required field is missing or ambiguous, you must request clarification. Do not guess or proceed with assumptions.\n\n---\n\n## Prompt Format\nProduce a single prompt string suitable for direct use in a text-to-image API. Example:\n\n> \"A realistic portrait of a Sikh man in traditional attire standing in front of the Golden Temple at sunrise, with soft lighting and warm tones. No text overlay.\"\n\n---\n\n## Constraints\n- Do **not** add characters, objects, settings, or styles not present in the input.\n- Do **not** infer emotional tone, symbolism, or narrative unless explicitly described.\n- Do **not** include fantasy, surreal, or fictional elements unless requested.\n- Do **not** include political figures, celebrities, or religious icons unless authorized.\n- Do **not** exceed 500 UTF-16 characters under any circumstance.\n- Do **not** use double quotes. Output should be JSON compatible\n\n\n---\n\n## Character Control\n- Only include characters listed in the input.\n- Do **not** invent names, faces, roles, or behaviors.\n- If a character is referenced without description, request clarification.\n\n---\n\n## Typography & Text Rules\n- Use only text explicitly provided.\n- Do **not** add slogans, captions, or labels unless specified.\n- Font style, size, color, and placement must match instructions.\n\n---\n\n## Clarification Logic\nIf the input is vague, contradictory, or incomplete:\n- **Pause prompt generation**\n- **Respond with a clarification request**\n- Do **not** guess or proceed with assumptions\n\n---\n\n## Integration Notes\n- Designed for use in automated workflows (e.g., n8n, Zapier, API pipelines)\n- Output is a single prompt string for downstream image generation\n- Compatible with models that accept natural language input and enforce character limits (e.g., RunwayML, Stability AI)\n"
}
]
}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.8
},
{
"id": "c623f5ca-8b61-471f-958a-fe631a344af1",
"name": "Respond to Webhook",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
1216,
-976
],
"parameters": {
"options": {}
},
"typeVersion": 1.4
},
{
"id": "941f585d-52aa-4a34-bf38-04c7a6c8c3fe",
"name": "If",
"type": "n8n-nodes-base.if",
"position": [
-1920,
-1104
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "08c86a8b-f2a8-4a5d-99a3-dc1079267c87",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.body.type }}",
"rightValue": "image"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "cb6e7ecb-a20e-40b1-9c98-dd1cd788a560",
"name": "Wait",
"type": "n8n-nodes-base.wait",
"position": [
16,
-1216
],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "0a9dc79f-32b5-4ca6-a4f1-beb656b3acc6",
"name": "Get Image Details",
"type": "n8n-nodes-base.httpRequest",
"position": [
256,
-1136
],
"parameters": {
"url": "=https://api.magichour.ai/v1/image-projects/{{ $('ai-image-generator').item.json.id }}",
"options": {},
"sendHeaders": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpBearerAuth",
"headerParameters": {
"parameters": [
{
"name": "accept",
"value": "application/json"
}
]
}
},
"credentials": {
"httpBearerAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "6c753ca8-98c1-4a8a-9e04-6d69094d731b",
"name": "If1",
"type": "n8n-nodes-base.if",
"position": [
544,
-1136
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "or",
"conditions": [
{
"id": "e240e5dc-6bdf-47a3-85c4-098b5e3235fc",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "complete"
},
{
"id": "cfeb1810-471d-438a-ad2c-f2bf14124616",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "error"
},
{
"id": "5b+1234567890f1a-bc59-7e55c51d83ff",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "cancelled"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "c1d25e83-a30a-4f2d-84cf-d4a6a86e646b",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-16,
-1568
],
"parameters": {
"width": 416,
"height": 576,
"content": "## The image can be one of the following status\n\n**draft** - not currently used\nqueued - the job is queued and waiting for a GPU\n**rendering** - the generation is in progress\n**complete** - the image is successful created\n**error** - an error occurred during rendering\n**canceled** - image render is canceled by the user\n\n**IF Loop** is to check if the Image processing has completed at the backend or not."
},
"typeVersion": 1
},
{
"id": "deb09fda-0660-4c02-a3cc-1c022bf44b9e",
"name": "If2",
"type": "n8n-nodes-base.if",
"position": [
-640,
-960
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "19a5f814-1943-49b7-97b6-e0af31eee57b",
"operator": {
"type": "string",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "={{ $json.id }}",
"rightValue": ""
},
{
"id": "deea2b1d-a20d-4a8f-911c-02518bcad2ad",
"operator": {
"type": "number",
"operation": "gt"
},
"leftValue": "={{ $json.credits_charged }}",
"rightValue": 0
}
]
}
},
"typeVersion": 2.2
},
{
"id": "f4c83f1a-e23c-496c-8594-6f4d2301798d",
"name": "Download Image",
"type": "n8n-nodes-base.httpRequest",
"position": [
832,
-1152
],
"parameters": {
"url": "={{ $json.downloads[0].url }}",
"options": {}
},
"typeVersion": 4.2
},
{
"id": "dfdccb9b-0ee4-42ea-adb7-0ebc652efe9f",
"name": "Generate video Prompt",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
-1360,
-704
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1",
"cachedResultName": "GPT-4.1"
},
"options": {
"topP": 1,
"temperature": 0.6
},
"messages": {
"values": [
{
"content": "=Generate a comprehensive and detailed video generation prompt from {{ $json.body.prompt }} for AI image generation model as input. Use the following information:\n\n**Subject**: AI generated\n**Duration**: {{ $json.body.parameters.end_seconds }}\n**Orientation**: {{ $json.body.parameters.orientation }}\n**Resolution**: {{ $json.body.parameters.resolution }}"
},
{
"role": "system",
"content": "=## \ud83d\udd39 Purpose\nYou are a prompt-generation agent. Your task is to convert minimal or structured user input into a clean, descriptive prompt suitable for text-to-video generation models (e.g., RunwayML Gen-2, Pika, Luma). You do not generate videos yourself. You must never invent characters, narrative arcs, or symbolic meaning beyond what is explicitly provided or reasonably inferred.\n\n---\n\n## \ud83d\udd39 Output Requirements\n- Generate a **non-empty**, grammatically correct prompt string\n- Output must be **\u22641000 UTF-16 characters**\n- Prompt must be:\n - Visually descriptive\n - Free of emotional tone or interpretation unless specified\n - Strictly limited to elements provided or inferred from context\n - Suitable for direct use in a text-to-video API\n\n---\n\n## \ud83d\udd39 Input Expectations\nYou may receive minimal or structured input containing:\n- **Subject or concept** (e.g., \u201ctwo world leaders playing chess\u201d)\n- **Duration** (e.g., 5 seconds)\n- **Style** (e.g., realistic, cinematic, animated)\n- **Optional details**:\n - Characters\n - Setting\n - Scene breakdown\n - Audio/narration\n - Text overlays\n - End frame instructions\n\n---\n\n## \ud83d\udd39 Default Handling Logic\nIf specific details are missing, apply the following default assumptions:\n\n- **Characters**: Represent as generic silhouettes or neutral figures unless described\n- **Setting**: Default to a neutral indoor space with soft lighting\n- **Scene Breakdown**: Use a single continuous shot with minimal movement\n- **Audio/Narration**: Assume silence unless ambient sound or narration is specified\n- **Text Overlays**: Assume no text unless explicitly requested\n- **Transitions**: Use hard cuts or static framing unless otherwise described\n\n---\n\n## \ud83d\udd39 Output Format\nProduce a single prompt string. Example:\n\n> \"A 5-second cinematic video showing two silhouetted world leaders seated across a chessboard in a dimly lit formal room. One leader makes a move while the other watches intently. The camera remains static. No narration or text overlay.\"\n\n---\n\n## \ud83d\udd39 Constraints\n- Do **not** add characters, symbols, or narrative elements not present or implied\n- Do **not** infer emotional tone, symbolism, or political meaning\n- Do **not** include fantasy, surreal, or fictional content unless requested\n- Do **not** include political figures, celebrities, or religious icons unless authorized\n\n---\n\n## \ud83d\udd39 Clarification Logic\nIf the input is contradictory or dangerously vague:\n- **Pause prompt generation**\n- **Respond with a clarification request**\n- Do **not** guess or proceed with assumptions that could misrepresent intent\n\n---\n\n## \ud83d\udd39 Integration Notes\n- Designed for use in automated workflows (e.g., n8n, Zapier, API pipelines)\n- Output is a single prompt string for downstream video generation\n- Compatible with models that accept natural language input and enforce character limits\n"
}
]
}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.8
},
{
"id": "a18904cc-6f73-494c-903a-8b074159218d",
"name": "Edit Fields2",
"type": "n8n-nodes-base.set",
"position": [
-1568,
-688
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "3e45a85a-be16-480c-8ce9-f9fe7ae07ba5",
"name": "body.prompt",
"type": "string",
"value": "={{ $('Webhook').item.json.body.parameters.style.prompt }}"
},
{
"id": "d1742fce-32ae-4d00-940b-7a6e341f90f7",
"name": "body.parameters.name",
"type": "string",
"value": "={{ $('Webhook').item.json.body.parameters.name }}"
},
{
"id": "b32892cc-7b6b-4ad7-a24f-27e93bc99364",
"name": "body.parameters.end_seconds",
"type": "number",
"value": "={{ $('Webhook').item.json.body.parameters.end_seconds }}"
},
{
"id": "69b8e6de-23dd-4fd1-b31c-a63fbf52b6c9",
"name": "body.parameters.orientation",
"type": "string",
"value": "={{ $('Webhook').item.json.body.parameters.orientation }}"
},
{
"id": "6e6c76ad-a508-497c-9e35-66f0aa0798a9",
"name": "body.parameters.resolution",
"type": "string",
"value": "={{ $('Webhook').item.json.body.parameters.resolution }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "56c92629-de44-455a-bdea-a8af21a436f3",
"name": "Get Data from Webhook",
"type": "n8n-nodes-base.set",
"position": [
-1568,
-1232
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "3e45a85a-be16-480c-8ce9-f9fe7ae07ba5",
"name": "body.prompt",
"type": "string",
"value": "={{ $json.body.parameters.style.prompt }}"
},
{
"id": "4c8bbfdd-15e9-4e4b-8d85-2c3ed5048738",
"name": "body.parameters.style.tool",
"type": "string",
"value": "={{ $json.body.parameters.style.tool }}"
},
{
"id": "e75c66ce-03a8-486b-a761-a362e2a0236f",
"name": "body.parameters.name",
"type": "string",
"value": "={{ $json.body.parameters.name }}"
},
{
"id": "93503d53-a707-406c-81c2-5062b06391b6",
"name": "body.parameters.image_count",
"type": "number",
"value": "={{ $json.body.parameters.image_count }}"
},
{
"id": "5a10f233-78cb-4b87-b3cd-61f087f947ff",
"name": "body.parameters.orientation",
"type": "string",
"value": "={{ $json.body.parameters.orientation }}"
},
{
"id": "909e57e2-5fa4-4647-94ec-7143be75062f",
"name": "body.type",
"type": "string",
"value": "={{ $json.body.type }}"
},
{
"id": "6271c772-a93a-4495-af5b-694e23483d79",
"name": "body.action",
"type": "string",
"value": "={{ $json.body.action }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "33d63aeb-a2ad-4828-ac5a-43fac9794aac",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1104,
-1600
],
"parameters": {
"width": 384,
"height": 592,
"content": "## POST Request\n\n**Add credentials** for the MagicHour.ai and the make sure the body content has the JSON in following format;\n\n```\n{\n \"name\": \"<String>\",\n \"image_count\": <Number>,\n \"orientation\": \"<String>\",\n \"style\": {\n \"prompt\": \"<String>\",\n \"tool\": \"<String>\"\n }\n}\n```"
},
"typeVersion": 1
},
{
"id": "424e2d3a-93dc-4415-963b-f10f1fdbe092",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
736,
-1376
],
"parameters": {
"width": 336,
"height": 832,
"content": "## GET Request\n\n**GET** request to download the created Image or the video file\n"
},
"typeVersion": 1
},
{
"id": "27979d9b-1e87-4777-b935-175d58acdf31",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1104,
-960
],
"parameters": {
"width": 368,
"height": 416,
"content": "## POST Request\n\nThe **POST Request** responds back with Id\n\n```\n{\n \"id\": \"cuid-example\",\n \"estimated_frame_cost\": 450,\n \"credits_charged\": 450\n}\n\n```"
},
"typeVersion": 1
},
{
"id": "9321dada-7ef9-42bd-9b4b-e405de84ae3f",
"name": "If3",
"type": "n8n-nodes-base.if",
"position": [
-352,
-1088
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "69e57e0d-864d-4080-a8a8-1cf933308e79",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $item(\"0\").$node[\"Webhook\"].json[\"body\"][\"type\"] }}",
"rightValue": "image"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "69469d82-f353-4c10-a31d-fbb5414f6718",
"name": "Get Error Details",
"type": "n8n-nodes-base.set",
"position": [
192,
-256
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "817f5e6f-6548-49b2-834b-9a9199a63c06",
"name": "error.message",
"type": "string",
"value": "={{ $json.error.message }}"
},
{
"id": "80b4427b-7157-41e1-b694-dfe214cd4c1c",
"name": "error.code",
"type": "string",
"value": "={{ $json.error.code }}"
},
{
"id": "37299c90-153c-48d1-b21b-f4c8c97e97d3",
"name": "error.status",
"type": "number",
"value": "={{ $json.error.status }}"
},
{
"id": "712965ae-c018-4dbf-84c5-d031e76214ae",
"name": "finish_reason",
"type": "string",
"value": "={{ $json.finish_reason }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "79aa3064-f37f-4bbb-bfde-d9dba40a5975",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
32,
-464
],
"parameters": {
"width": 384,
"height": 352,
"content": "## Capture Errors from HTTP run\n\nThis will catch any errors in running the HTTP Post request. \n\nThis **does not** capture the errors from generating Image or Video\n"
},
"typeVersion": 1
},
{
"id": "205e235d-fac9-4288-983d-b1b31407f0dc",
"name": "ai-image-generator",
"type": "n8n-nodes-base.httpRequest",
"onError": "continueErrorOutput",
"position": [
-976,
-1232
],
"parameters": {
"url": "https://api.magichour.ai/v1/ai-image-generator",
"method": "POST",
"options": {},
"jsonBody": "={\n \"name\": \"{{ $('Get Data from Webhook').item.json.body.parameters.name }}\",\n \"image_count\": {{ $('Get Data from Webhook').item.json.body.parameters.image_count }},\n \"orientation\": \"{{ $('Get Data from Webhook').item.json.body.parameters.orientation }}\",\n \"style\": {\n \"prompt\": \"{{ $json.message.content }}\",\n \"tool\": \"{{ $('Get Data from Webhook').item.json.body.parameters.style.tool }}\"\n }\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpBearerAuth",
"headerParameters": {
"parameters": [
{
"name": "accept",
"value": "application/json"
}
]
}
},
"credentials": {
"httpBearerAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.2,
"alwaysOutputData": true
},
{
"id": "c0186ccf-3bfa-4390-a5a0-41245db45873",
"name": "text-to-video",
"type": "n8n-nodes-base.httpRequest",
"onError": "continueErrorOutput",
"position": [
-976,
-688
],
"parameters": {
"url": "https://api.magichour.ai/v1/text-to-video",
"method": "POST",
"options": {},
"jsonBody": "={\n \"name\": \"{{ $('Edit Fields2').item.json.body.parameters.name }}\",\n \"end_seconds\": {{ $('Edit Fields2').item.json.body.parameters.end_seconds }},\n \"orientation\": \"{{ $('Edit Fields2').item.json.body.parameters.orientation }}\",\n \"resolution\": \"{{ $('Edit Fields2').item.json.body.parameters.resolution }}\",\n \"style\": {\n \"prompt\": \"{{ $json.message.content }}\"\n }\n} ",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpBearerAuth",
"headerParameters": {
"parameters": [
{
"name": "accept",
"value": "application/json"
}
]
}
},
"credentials": {
"httpBearerAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.2,
"alwaysOutputData": true
},
{
"id": "e4bfdb41-1e79-40b9-adc7-fc353bb9dc64",
"name": "Wait1",
"type": "n8n-nodes-base.wait",
"position": [
32,
-736
],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "aaf5f07a-7086-4f90-b959-fc3a51d5cb3c",
"name": "Get Video Details",
"type": "n8n-nodes-base.httpRequest",
"position": [
224,
-736
],
"parameters": {
"url": "https://api.magichour.ai/v1/video-projects/id",
"options": {},
"sendHeaders": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpBearerAuth",
"headerParameters": {
"parameters": [
{
"name": "accept",
"value": "application/json"
}
]
}
},
"credentials": {
"httpBearerAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "b86b8653-7125-49cc-934a-efbf729e92df",
"name": "If4",
"type": "n8n-nodes-base.if",
"position": [
560,
-736
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "or",
"conditions": [
{
"id": "e240e5dc-6bdf-47a3-85c4-098b5e3235fc",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "complete"
},
{
"id": "cfeb1810-471d-438a-ad2c-f2bf14124616",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "error"
},
{
"id": "5b+1234567890f1a-bc59-7e55c51d83ff",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "cancelled"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "0dec21e4-5da8-4b1c-acfd-e051d12daf27",
"name": "Download Video",
"type": "n8n-nodes-base.httpRequest",
"position": [
864,
-752
],
"parameters": {
"url": "={{ $json.downloads[0].url }}",
"options": {}
},
"typeVersion": 4.2
}
],
"active": true,
"settings": {
"executionOrder": "v1"
},
"versionId": "ce361a06-9a8c-4df2-a40d-139c04f5ce71",
"connections": {
"If": {
"main": [
[
{
"node": "Get Data from Webhook",
"type": "main",
"index": 0
}
],
[
{
"node": "Edit Fields2",
"type": "main",
"index": 0
}
]
]
},
"If1": {
"main": [
[
{
"node": "Download Image",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait",
"type": "main",
"index": 0
}
]
]
},
"If2": {
"main": [
[
{
"node": "If3",
"type": "main",
"index": 0
}
],
[]
]
},
"If3": {
"main": [
[
{
"node": "Wait",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait1",
"type": "main",
"index": 0
}
]
]
},
"If4": {
"main": [
[
{
"node": "Download Video",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait1",
"type": "main",
"index": 0
}
]
]
},
"Wait": {
"main": [
[
{
"node": "Get Image Details",
"type": "main",
"index": 0
}
]
]
},
"Wait1": {
"main": [
[
{
"node": "Get Video Details",
"type": "main",
"index": 0
}
]
]
},
"Webhook": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields2": {
"main": [
[
{
"node": "Generate video Prompt",
"type": "main",
"index": 0
}
]
]
},
"text-to-video": {
"main": [
[
{
"node": "If2",
"type": "main",
"index": 0
}
],
[
{
"node": "Get Error Details",
"type": "main",
"index": 0
}
]
]
},
"Download Image": {
"main": [
[
{
"node": "Respond to Webhook",
"type": "main",
"index": 0
}
]
]
},
"Download Video": {
"main": [
[
{
"node": "Respond to Webhook",
"type": "main",
"index": 0
}
]
]
},
"Get Error Details": {
"main": [
[
{
"node": "Respond to Webhook",
"type": "main",
"index": 0
}
]
]
},
"Get Image Details": {
"main": [
[
{
"node": "If1",
"type": "main",
"index": 0
}
]
]
},
"Get Video Details": {
"main": [
[
{
"node": "If4",
"type": "main",
"index": 0
}
]
]
},
"ai-image-generator": {
"main": [
[
{
"node": "If2",
"type": "main",
"index": 0
}
],
[
{
"node": "Get Error Details",
"type": "main",
"index": 0
}
]
]
},
"Generate Image Prompt": {
"main": [
[
{
"node": "ai-image-generator",
"type": "main",
"index": 0
}
]
]
},
"Generate video Prompt": {
"main": [
[
{
"node": "text-to-video",
"type": "main",
"index": 0
}
]
]
},
"Get Data from Webhook": {
"main": [
[
{
"node": "Generate Image Prompt",
"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.
httpBearerAuthopenAiApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
This workflow automates AI-powered image and video generation using MagicHour.ai's API, enhanced by GPT-4.1 for intelligent prompt optimization. It processes webhook requests, refines prompts using AI, generates media content, and returns the final output.
Source: https://n8n.io/workflows/9853/ — original creator credit. Request a take-down →
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