Templates / Automate 3D body model generation from images using SAM-3D & Google Sheets

Automate 3D body model generation from images using SAM-3D & Google Sheets

Ready for 3.0

by Davide Boizza ✓ · 5,438 views · created 2025-12-03 · Content Creation, Multimodal AI

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

Nodes used (7)

Google Sheets

What it does

This workflow automates the process of generating 3D human body models (in .glb format) from single image using SAM-3D model. It operates by connecting a Google Sheet as a data source with the external AI processing API. | Start | Result| |--------|---------| | !image | !image | --- Use Cases 1. ✅ Sports Analysis & Motion Optimization 3D models allow precise analysis of posture, angles, and technique. Possible applications: Golf swing analysis Identify stance, rotation, shoulder/hip alignment, and follow-through. Tennis serve biomechanics Optimize shoulder rotation, racket angle, leg push-off. Running gait analysis Evaluate stride symmetry, foot strike, and body tilt. Cycling posture optimization Reduce drag by analyzing torso angle and hand position. Swimming technique evaluations Compare ideal vs. actual joint angles. 2. ✅ Fitness, Health & Physiotherapy 3D models can visually highlight imbalances or incorrect positions. Posture correction assessments Identify spinal misalignment or uneven weight distribution. Physical therapy progress tracking Compare poses over time to assess recovery. Ergonomics and workplace safety Evaluate whether a worker’s posture is safe during lifting or repetitive tasks. Home fitness coaching Automated feedback for yoga, pilates, stretching exercises. 3. ✅ Fashion, Apparel & Virtual Try-On Photorealistic body reconstruction helps generate tailored outfits or evaluate fit. Virtual try-on for clothing brands Produce accurate 3D avatars to test garments digitally. Custom-made fashion Use 3D measurements for bespoke tailoring patterns. Model pose simulation Test clothing fit in dynamic or unusual positions (e.g., dance, athletic poses). 4. ✅ Gaming, Animation & Digital Content Creation Quick 3D reconstruction reduces production time for digital humans. Character rigging from real people Generate 3D avatars ready for animation. Motion capture alternatives Recreate specific poses without expensive mocap systems. VR/AR content creation Deploy 3D characters into immersive environments. Comics, illustration, and concept art Use 3D poses as reference models to speed up drawing. 5. ✅ Medical, Research & Educational Applications Human-body 3D models provide insights in scientific or practical contexts. Anthropometric measurements Estimate height, limb length, body proportions from images. Posture and musculoskeletal studies Analyze joint angle distribution in different poses. Rehabilitation robotics or exoskeleton design Fit devices to a patient’s real body shape. Training materials for anatomy or movement science Generate accurate pose examples for students. 6.✅ Security, Forensics & Reconstruction When allowed ethically and legally, 3D models can support investigations. Reconstruction of accident scenes Understand how a person fell, collided, or moved. Analysis of body posture in video frames Useful for determining gesture patterns or mobility constraints. 7. ✅ Art, Photography & Creative Industries Artists often need unusual or complex human poses. Pose reference creation For painting, 3D sculpting, illustration, or storyboarding. Recreating dynamic action scenes Parkour, martial arts, ballet, expressive dance. Virtual studio lighting tests Apply simulated lighting to a 3D model before shooting. --- How It Works This workflow automates the process of generating 3D human body models (in .glb format) from single images using the FAL.AI SAM-3D service. It operates by connecting a Google Sheet as a data source with the external AI processing API. Here is the operational flow: 1. Trigger & Data Fetch: The workflow begins either manually (via "Test workflow") or on a schedule. It queries a designated Google Sheet to find rows where the "3D RESULT" column is empty, indicating a new image needs processing. 2. API Request & Queuing: For each new image, it sends the image URL to the FAL.AI SAM-3D API endpoint (/fal-ai/sam-3/3d-body), which queues the job and returns a unique requestid. 3. Status Polling & Waiting: Th

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