Tran Trung Nghia This workflow corresponds to n8n.io template #15760 — we link there as the canonical source.
This workflow follows the Form Trigger → HTTP Request 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 →
{
"name": "Havis AI - GPT Image 2",
"nodes": [
{
"id": "64086149-8aa6-492a-a86a-9406caadc7f7",
"name": "Sticky Note - Workflow Overview",
"type": "n8n-nodes-base.stickyNote",
"position": [
-144,
896
],
"parameters": {
"width": 512,
"height": 848,
"content": "## Havis AI - GPT Image 2\n\n### How it works\n\n1. The workflow shows a public n8n form for collecting a GPT Image 2 request and a Havis API key.\n2. It converts the form values into the JSON payload expected by the Havis API.\n3. It submits the job to `https://havis.ai/api/gpt-image-2` and receives a task ID.\n4. It polls `https://havis.ai/api/task/{task_id}` until the job finishes or fails.\n5. It returns the task metadata, credit usage, payload, and generated result URLs.\n\n### Setup steps\n\n- [ ] Create a Havis API key at https://havis.ai/manager/profile.\n- [ ] Open the form trigger URL after importing this workflow into n8n.\n- [ ] Enter the required GPT Image 2 inputs: prompt, mode, aspect_ratio, resolution, image_url_1, image_url_2.\n- [ ] Confirm your Havis account has enough credits before running the workflow.\n- [ ] Adjust the polling wait time if your executions need faster or slower status checks.\n\n### Customization\n\nChange default prompt values, optional fields, polling interval, or the final output fields to match your automation. Keep the Havis domain fixed unless you intentionally publish a separate private workflow."
},
"typeVersion": 1
},
{
"id": "e1584196-423c-4579-a90b-69e3051d8f82",
"name": "Sticky Note - Request Input",
"type": "n8n-nodes-base.stickyNote",
"position": [
448,
944
],
"parameters": {
"color": 7,
"width": 320,
"height": 384,
"content": "## Collect request inputs\n\nThe form trigger captures the Havis API key plus the GPT Image 2 inputs from the user.\n\nKey fields: prompt, mode, aspect_ratio, resolution, image_url_1, image_url_2, image_url_3, image_url_4, ...."
},
"typeVersion": 1
},
{
"id": "8250a304-aa6f-4308-83ab-746044daab2a",
"name": "Sticky Note - Payload Preparation",
"type": "n8n-nodes-base.stickyNote",
"position": [
848,
944
],
"parameters": {
"color": 7,
"width": 320,
"height": 384,
"content": "## Build API payload\n\nThe code node trims blank values, applies default options, and builds a clean JSON body. Optional images, video URLs, audio URLs, tags, modes, or resolution fields are only included when provided."
},
"typeVersion": 1
},
{
"id": "7a6aeef5-60a7-44a9-97db-dba668883bdb",
"name": "Sticky Note - API Submission",
"type": "n8n-nodes-base.stickyNote",
"position": [
1248,
944
],
"parameters": {
"color": 7,
"width": 400,
"height": 384,
"content": "## Submit generation job\n\nThe HTTP request sends the prepared payload to Havis AI with a bearer token. A successful response should include a `task_id` and the number of credits used for the request."
},
"typeVersion": 1
},
{
"id": "c3cf173d-d737-4721-8ba6-b1483f272fa2",
"name": "Sticky Note - Polling and Output",
"type": "n8n-nodes-base.stickyNote",
"position": [
1696,
832
],
"parameters": {
"color": 7,
"width": 880,
"height": 720,
"content": "## Poll and return result\n\nThe workflow waits, checks task status, branches on completed or failed states, and loops while the job is still processing. Completed runs return result URLs; failed runs return a readable error object."
},
"typeVersion": 1
},
{
"id": "55f79ab0-f0b2-2d66-30d7-188c5ad457ea",
"name": "Form - GPT Image 2",
"type": "n8n-nodes-base.formTrigger",
"position": [
520,
1120
],
"parameters": {
"options": {},
"formTitle": "Havis AI - GPT Image 2",
"formFields": {
"values": [
{
"fieldLabel": "api_key",
"placeholder": "YOUR_HAVIS_API_KEY",
"requiredField": true
},
{
"fieldType": "textarea",
"fieldLabel": "prompt",
"placeholder": "A cinematic fashion portrait with soft studio lighting",
"requiredField": true
},
{
"fieldType": "dropdown",
"fieldLabel": "mode [optional]",
"fieldOptions": {
"values": [
{
"option": "text-to-image"
},
{
"option": "image-to-image"
}
]
}
},
{
"fieldType": "dropdown",
"fieldLabel": "aspect_ratio [optional]",
"fieldOptions": {
"values": [
{
"option": "auto"
},
{
"option": "1:1"
},
{
"option": "4:3"
},
{
"option": "3:4"
},
{
"option": "16:9"
},
{
"option": "9:16"
}
]
}
},
{
"fieldType": "dropdown",
"fieldLabel": "resolution [optional]",
"fieldOptions": {
"values": [
{
"option": "1K"
},
{
"option": "2K"
},
{
"option": "4K"
}
]
}
},
{
"fieldLabel": "image_url_1 [optional]",
"placeholder": "https://example.com/reference-product.jpg"
},
{
"fieldLabel": "image_url_2 [optional]",
"placeholder": "https://example.com/reference-product.jpg"
},
{
"fieldLabel": "image_url_3 [optional]",
"placeholder": "https://example.com/reference-product.jpg"
},
{
"fieldLabel": "image_url_4 [optional]",
"placeholder": "https://example.com/reference-product.jpg"
},
{
"fieldLabel": "image_url_5 [optional]",
"placeholder": "https://example.com/reference-product.jpg"
},
{
"fieldLabel": "image_url_6 [optional]",
"placeholder": "https://example.com/reference-product.jpg"
},
{
"fieldLabel": "image_url_7 [optional]",
"placeholder": "https://example.com/reference-product.jpg"
},
{
"fieldLabel": "image_url_8 [optional]",
"placeholder": "https://example.com/reference-product.jpg"
},
{
"fieldLabel": "tag [optional]",
"placeholder": "n8n-gpt-image-2"
}
]
},
"formDescription": "Submit a GPT Image 2 job through Havis AI and poll until it completes."
},
"typeVersion": 2.2
},
{
"id": "1d47d384-b80a-0229-2504-8497c4319a5c",
"name": "Build Payload",
"type": "n8n-nodes-base.code",
"position": [
920,
1120
],
"parameters": {
"jsCode": "const input = $json;\nconst clean = (value) => value === undefined || value === null ? '' : String(value).trim();\nconst body = {};\nconst apiKey = clean(input.api_key);\nfunction put(name, label, type, required) {\n const value = clean(input[label]);\n if (!value && !required) return;\n if (type === \"number\") { const n = Number(value); if (!Number.isNaN(n)) body[name] = n; return; }\n if (type === \"boolean\") { body[name] = value === \"true\" || value === \"1\" || value.toLowerCase() === \"yes\"; return; }\n body[name] = value;\n}\nput(\"prompt\", \"prompt\", \"string\", true);\nput(\"mode\", \"mode [optional]\", \"string\", false);\nput(\"aspect_ratio\", \"aspect_ratio [optional]\", \"string\", false);\nput(\"resolution\", \"resolution [optional]\", \"string\", false);\nif (body[\"mode\"] === undefined || body[\"mode\"] === '') body[\"mode\"] = \"text-to-image\";\nif (body[\"aspect_ratio\"] === undefined || body[\"aspect_ratio\"] === '') body[\"aspect_ratio\"] = \"auto\";\nif (body[\"resolution\"] === undefined || body[\"resolution\"] === '') body[\"resolution\"] = \"1K\";\nconst arr0 = [\"image_url_1 [optional]\",\"image_url_2 [optional]\",\"image_url_3 [optional]\",\"image_url_4 [optional]\",\"image_url_5 [optional]\",\"image_url_6 [optional]\",\"image_url_7 [optional]\",\"image_url_8 [optional]\"].map(label => clean(input[label])).filter(Boolean);\nif (arr0.length) body[\"images\"] = arr0;\nbody.tag = clean(input['tag [optional]']) || \"n8n-gpt-image-2\";\nreturn [{ json: { api_key: apiKey, body } }];"
},
"typeVersion": 2
},
{
"id": "1ea7811a-dc89-1105-11e8-d24081c55d60",
"name": "Submit - Havis API",
"type": "n8n-nodes-base.httpRequest",
"position": [
1320,
1120
],
"parameters": {
"url": "https://havis.ai/api/gpt-image-2",
"method": "POST",
"options": {},
"jsonBody": "={{ $json.body }}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
},
{
"name": "Authorization",
"value": "=Bearer {{ $json.api_key }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "1a8aca7d-b8c2-488f-0ee8-983447b40ef4",
"name": "Wait 8s",
"type": "n8n-nodes-base.wait",
"position": [
1520,
1120
],
"parameters": {
"unit": "seconds",
"amount": 8
},
"typeVersion": 1.1
},
{
"id": "fdac0d2e-8d78-7154-5da1-3650ddda59e1",
"name": "Check Task Status",
"type": "n8n-nodes-base.httpRequest",
"position": [
1720,
1120
],
"parameters": {
"url": "={{ 'https://havis.ai/api/task/' + $('Submit - Havis API').first().json.task_id }}",
"options": {},
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "=Bearer {{ $('Build Payload').first().json.api_key }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "a6dfcc04-c701-3d54-7f76-dae143107328",
"name": "Is Completed?",
"type": "n8n-nodes-base.if",
"position": [
1920,
1120
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": false,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "04dfa4fe-25ce-88f0-ddc5-863e1dae3be3",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "completed"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "5321c986-fbf8-71f9-deca-210166b8e17d",
"name": "Is Failed?",
"type": "n8n-nodes-base.if",
"position": [
2120,
1240
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": false,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "d7a457f2-769a-1e83-f91f-7e4a06fbec29",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "failed"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "4b895656-ea13-1a88-99f7-e62263ef4c62",
"name": "Wait 8s (loop)",
"type": "n8n-nodes-base.wait",
"position": [
2320,
1360
],
"parameters": {
"unit": "seconds",
"amount": 8
},
"typeVersion": 1.1
},
{
"id": "b5231133-519b-0250-e282-7f4e4ba3cd32",
"name": "Return Result",
"type": "n8n-nodes-base.set",
"position": [
2320,
1040
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "1426462c-8755-0255-97a9-7a50172038bd",
"name": "task_id",
"type": "string",
"value": "={{ $('Submit - Havis API').first().json.task_id }}"
},
{
"id": "13c4b339-9123-aabe-ec24-7af1a2a456ed",
"name": "status",
"type": "string",
"value": "={{ $json.status }}"
},
{
"id": "9e304776-6743-795b-19ae-f8f7f4655acf",
"name": "model",
"type": "string",
"value": "={{ $json.model }}"
},
{
"id": "923e2cd9-18fc-6799-c72d-c7f43d64de5f",
"name": "result_urls",
"type": "string",
"value": "={{ JSON.stringify($json.result_urls || []) }}"
},
{
"id": "334915e9-24af-b6c9-572f-e43a3ce37f65",
"name": "credits_used",
"type": "string",
"value": "={{ $('Submit - Havis API').first().json.creditsUsed || $('Submit - Havis API').first().json.credits_used || '' }}"
},
{
"id": "0e16f07c-baaf-b52a-9c3b-8dd332703d1c",
"name": "submitted_payload",
"type": "string",
"value": "={{ JSON.stringify($('Build Payload').first().json.body) }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "f62aba9b-6421-c14e-f9e9-dc06b8d900d3",
"name": "Return Error",
"type": "n8n-nodes-base.set",
"position": [
2320,
1200
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "d70e0dfb-fd9f-eaef-64ed-2953bce724f0",
"name": "task_id",
"type": "string",
"value": "={{ $('Submit - Havis API').first().json.task_id }}"
},
{
"id": "27c338fc-2f78-013f-65f6-a035edc4d5c3",
"name": "status",
"type": "string",
"value": "={{ $json.status }}"
},
{
"id": "764fcebf-1906-d62f-f476-faa0d1da130a",
"name": "model",
"type": "string",
"value": "={{ $json.model }}"
},
{
"id": "c7b78fd5-508f-2a83-63d1-3f412f4203bc",
"name": "error_message",
"type": "string",
"value": "={{ $json.error_message || $json.message || \"Generation failed\" }}"
},
{
"id": "1ea0ca53-5fc3-6023-8db8-4c58ca9caf67",
"name": "credits_used",
"type": "string",
"value": "={{ $('Submit - Havis API').first().json.creditsUsed || $('Submit - Havis API').first().json.credits_used || '' }}"
}
]
}
},
"typeVersion": 3.4
}
],
"connections": {
"Wait 8s": {
"main": [
[
{
"node": "Check Task Status",
"type": "main",
"index": 0
}
]
]
},
"Is Failed?": {
"main": [
[
{
"node": "Return Error",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait 8s (loop)",
"type": "main",
"index": 0
}
]
]
},
"Build Payload": {
"main": [
[
{
"node": "Submit - Havis API",
"type": "main",
"index": 0
}
]
]
},
"Is Completed?": {
"main": [
[
{
"node": "Return Result",
"type": "main",
"index": 0
}
],
[
{
"node": "Is Failed?",
"type": "main",
"index": 0
}
]
]
},
"Wait 8s (loop)": {
"main": [
[
{
"node": "Check Task Status",
"type": "main",
"index": 0
}
]
]
},
"Check Task Status": {
"main": [
[
{
"node": "Is Completed?",
"type": "main",
"index": 0
}
]
]
},
"Form - GPT Image 2": {
"main": [
[
{
"node": "Build Payload",
"type": "main",
"index": 0
}
]
]
},
"Submit - Havis API": {
"main": [
[
{
"node": "Wait 8s",
"type": "main",
"index": 0
}
]
]
}
}
}
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About this workflow
This n8n workflow submits an image generation job to Havis AI GPT Image 2, waits for processing, polls task status, and returns result data when the job completes. Creators who want a reusable no-code generation form. Agencies building client-facing AI automation. Developers who…
Source: https://n8n.io/workflows/15760/ — original creator credit. Request a take-down →
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