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Convert Images to 3D Models with Fal AI Trellis and Store in Google Drive

by Davide Boizzaadapted from n8n official workflow galleryUpdated Aug 2026
RequiresGoogle DriveGoogle DriveGoogle SheetsGoogle SheetsHTTP RequestHTTP Request
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MaWhen clicking ‘Test workflow’When clicking ‘…HRGet statusWaWait 60 sec.ScSchedule TriggerIfCompleted?Update resultSeSet dataGet new imageHRCreate 3D ImageHRGet Url 3D imageHRGet File 3D imageGet File 3D ima…Upload 3D Image1234567891011
1/5
FLOWS
STEPS · 11
Run manually by an operator

This 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. The model is then stored and a download link is returned to the user. Main Steps Trigger Node: Initiates the workflow either via HTTP request, webhook, or manual execution. Image Upload or Input: The image is acquired via direct upload or URL input. API Integration: The image is sent to a 3D generation API (e.g., a service like Kaedim, Luma Labs, or a custom AI model). Model Generation: The external API processes the image and creates a 3D model. File Storage: The resulting 3D model is stored in cloud storage (e.g., S3, Google Drive, or a local server). Response to User: A download link for the 3D model is returned to the user via the same communication channel (HTTP response, email, or chat). Advantages Automation**: Eliminates the need for manual 3D modeling, saving time for artists, developers, and designers.

Tags

n8nreference-onlygoogle-drivegoogle-sheets
Connects
googledriveGoogle DrivesheetsGoogle SheetsWHTTP Request
CategoryGoogle Drive
Triggermanual
Complexitycomplex
Nodes12
AddedMay 6, 2025

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