Convert images to 3D models with Fal AI Trellis and store in Google Drive

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.


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Main Steps

1. Trigger Node: Initiates the workflow either via HTTP request, webhook, or manual execution. 2. Image Upload or Input: The image is acquired via direct upload or URL input. 3. API Integration: The image is sent to a 3D generation API (e.g., a service like Kaedim, Luma Labs, or a custom AI model). 4. Model Generation: The external API processes the image and creates a 3D model. 5. File Storage: The resulting 3D model is stored in cloud storage (e.g., S3, Google Drive, or a local server). 6. 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).

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Advantages

Automation: Eliminates the need for manual 3D modeling, saving time for artists, developers, and designers. AI-Powered: Leverages AI to generate realistic and usable 3D models from simple 2D inputs. Scalability: Can be triggered automatically and scaled up to handle many requests via n8n's automation. Integration-Friendly: Easily extendable with other services like Discord, Telegram, or marketplaces for 3D assets. No-Code Configuration: Built with n8n’s visual interface, making it editable without programming knowledge. ---