zahir khan This workflow corresponds to n8n.io template #12452 — we link there as the canonical source.
This workflow follows the Google Sheets → 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 →
{
"meta": {
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "3a431ca8-7558-42a8-a139-94ec7bd055fd",
"name": "When clicking \u2018Test workflow\u2019",
"type": "n8n-nodes-base.manualTrigger",
"position": [
2704,
7360
],
"parameters": {},
"typeVersion": 1
},
{
"id": "eff529f6-62b4-4214-8fdf-aff3b7fd82cf",
"name": "Schedule Trigger",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
2704,
7248
],
"parameters": {
"rule": {
"interval": [
{
"field": "minutes"
}
]
}
},
"typeVersion": 1.2
},
{
"id": "242dd0cc-be1a-4b81-8bba-4f992a3b4401",
"name": "Get new image",
"type": "n8n-nodes-base.googleSheets",
"position": [
2912,
7360
],
"parameters": {
"sheetName": {
"__rl": true,
"mode": "list",
"value": "",
"cachedResultUrl": ""
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "",
"cachedResultUrl": ""
}
},
"typeVersion": 4.5
},
{
"id": "350b660d-4a06-4958-b0bf-79492c693a0c",
"name": "Set Data",
"type": "n8n-nodes-base.set",
"position": [
3056,
7360
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "assign-image",
"name": "image_url",
"type": "string",
"value": "={{ $json['IMAGE_URL'] }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "9a0fe2a2-c883-4417-972c-ba5ca7c36bf9",
"name": "Submit to Hunyuan3D",
"type": "n8n-nodes-base.httpRequest",
"position": [
3360,
7360
],
"parameters": {
"url": "https://queue.fal.run/fal-ai/hunyuan3d/v2",
"method": "POST",
"options": {},
"jsonBody": "={\n \"input_image_url\": \"{{ $json.image_url }}\",\n \"num_inference_steps\": 50,\n \"guidance_scale\": 7.5,\n \"octree_resolution\": 256,\n \"textured_mesh\": true\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"typeVersion": 4.2
},
{
"id": "0dd63e22-9e97-4456-a76e-4703f01d10ac",
"name": "Wait 30 sec",
"type": "n8n-nodes-base.wait",
"position": [
3584,
7360
],
"parameters": {
"amount": 30
},
"typeVersion": 1.1
},
{
"id": "515a6da6-9731-47b0-952a-5ad7842f81cd",
"name": "Check Status",
"type": "n8n-nodes-base.httpRequest",
"position": [
3792,
7360
],
"parameters": {
"url": "=https://queue.fal.run/fal-ai/hunyuan3d/v2/requests/{{ $('Submit to Hunyuan3D').item.json.request_id }}/status",
"options": {},
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"typeVersion": 4.2
},
{
"id": "96a80bfa-289a-4240-a789-e7f43b99a66f",
"name": "Is Completed?",
"type": "n8n-nodes-base.if",
"position": [
4016,
7360
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "condition-completed",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "COMPLETED"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "c2ce1ee3-4689-4850-86c9-60646aea3caf",
"name": "Get Final Result",
"type": "n8n-nodes-base.httpRequest",
"position": [
4240,
7264
],
"parameters": {
"url": "=https://queue.fal.run/fal-ai/hunyuan3d/v2/requests/{{ $('Submit to Hunyuan3D').item.json.request_id }}",
"options": {},
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"typeVersion": 4.2
},
{
"id": "991a3e46-4aea-4dc2-83db-242329c69005",
"name": "Update Result",
"type": "n8n-nodes-base.googleSheets",
"position": [
4464,
7264
],
"parameters": {
"operation": "update",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "",
"cachedResultUrl": ""
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "",
"cachedResultUrl": ""
}
},
"typeVersion": 4.5
},
{
"id": "3fce6d49-b635-49f4-a5b3-b0a1d9266e02",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
2912,
6624
],
"parameters": {
"width": 551,
"height": 451,
"content": "## How it works\n1. **Trigger:** Starts manually or on a 15-minute schedule.\n2. **Fetch Data:** Reads image URLs (e.g. fashion sketches, product photos) from Google Sheets.\n3. **Generate 3D:** Sends the image to Fal.ai (Hunyuan3D v2) for processing.\n4. **Poll Status:** Loops every 30 seconds to check if the 3D model is ready.\n5. **Update Sheet:** Retrieves the `.glb` file URL and saves it back to Google Sheets.\n\n## Setup steps\n1. **Google Sheet:** Create a sheet with headers `IMAGE_URL` and `RESULT_GLB`.\n2. **Credentials:** Set up Fal.ai (API Key) and Google Sheets OAuth2 credentials.\n3. **Configuration:** Select your specific Sheet ID in the 'Get new image' and 'Update Result' nodes."
},
"typeVersion": 1
},
{
"id": "6417e0c8-6d9e-448a-964b-f4afd9af501f",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
2656,
7152
],
"parameters": {
"color": 7,
"width": 560,
"height": 380,
"content": "### 1. Input & Data Setup\nWatches for new data on schedule or manual trigger, then fetches empty rows from Google Sheets."
},
"typeVersion": 1
},
{
"id": "c2e0cb9c-5583-4e51-ab16-9fb7bd562246",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
3264,
7184
],
"parameters": {
"color": 7,
"width": 940,
"height": 380,
"content": "### 2. Generate & Poll Status\nSubmits the image to Hunyuan3D v2, then enters a 30s wait-loop until the generation status is 'COMPLETED'."
},
"typeVersion": 1
},
{
"id": "a20ff25a-3017-4b2f-b0f3-0aa6757e5fff",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
4224,
7184
],
"parameters": {
"color": 7,
"width": 380,
"height": 380,
"content": "### 3. Save Result\nFetches the final .glb URL and updates the Google Sheet row."
},
"typeVersion": 1
},
{
"id": "838fa0c0-596d-4a5f-a632-f8579648fb51",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
3552,
6544
],
"parameters": {
"width": 708,
"height": 584,
"content": "# Image-to-3D(.glb)\n\n\nThis workflow allows users to convert a 2D image into a 3D model by integrating multiple AI and web services. The process begins with a user uploading or providing an image URL, which is then sent to a generative AI model capable of interpreting the content and generating a 3D representation in .glb format.\n\n"
},
"typeVersion": 1
}
],
"connections": {
"Set Data": {
"main": [
[
{
"node": "Submit to Hunyuan3D",
"type": "main",
"index": 0
}
]
]
},
"Wait 30 sec": {
"main": [
[
{
"node": "Check Status",
"type": "main",
"index": 0
}
]
]
},
"Check Status": {
"main": [
[
{
"node": "Is Completed?",
"type": "main",
"index": 0
}
]
]
},
"Get new image": {
"main": [
[
{
"node": "Set Data",
"type": "main",
"index": 0
}
]
]
},
"Is Completed?": {
"main": [
[
{
"node": "Get Final Result",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait 30 sec",
"type": "main",
"index": 0
}
]
]
},
"Get Final Result": {
"main": [
[
{
"node": "Update Result",
"type": "main",
"index": 0
}
]
]
},
"Schedule Trigger": {
"main": [
[
{
"node": "Get new image",
"type": "main",
"index": 0
}
]
]
},
"Submit to Hunyuan3D": {
"main": [
[
{
"node": "Wait 30 sec",
"type": "main",
"index": 0
}
]
]
},
"When clicking \u2018Test workflow\u2019": {
"main": [
[
{
"node": "Get new image",
"type": "main",
"index": 0
}
]
]
}
}
}
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
This workflow automates the conversion of 2D images into high-quality 3D models ( format) by integrating Google Sheets with the Hunyuan3D v2 model on Fal.ai. It handles the entire pipeline—from fetching image URLs to polling for completion and saving the final asset—eliminating…
Source: https://n8n.io/workflows/12452/ — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
TrackCollect_deeper. Uses googleSheets, httpRequest, @n-octo-n/n8n-nodes-json-database, itemLists. Event-driven trigger; 80 nodes.
Google Sheets, HTTP Request, @N Octo N/N8N Nodes Json Database +1
This template is ideal for solo store owners, eCommerce marketers, automation beginners, or anyone using Shopify and Gmail who wants to recover lost revenue without coding.
HTTP Request, Gmail, Twilio +3
PCN. Uses googleSheets, httpRequest, @n-octo-n/n8n-nodes-json-database, itemLists. Event-driven trigger; 60 nodes.
Google Sheets, HTTP Request, @N Octo N/N8N Nodes Json Database +3
Product Ad Machine. Uses googleDrive, googleSheets, httpRequest, @ffmpeg-micro/n8n-nodes-ffmpeg-micro. Event-driven trigger; 60 nodes.
Google Drive, Google Sheets, HTTP Request +2
Basic AI SEO KW Research n8n DataForSEO Gumroad 030125. Uses googleSheets, googleDrive, httpRequest. Event-driven trigger; 56 nodes.
Google Sheets, Google Drive, HTTP Request