Image to 3D Building: High-Quality Meshes with Hunyuan 3D & Runchat
Автор: Runchat
Загружено: 2026-01-24
Просмотров: 323
Описание:
In this tutorial, G from Runchat reveals the exact steps used to produce clean, high-quality 3D meshes from a single inspiration image. We explore why the Hunyuan 3D model often outperforms alternatives like Trellis by utilizing multiple camera angles—generating east, west, and back elevations to provide the AI with the context it needs for a truly rational building model.
You’ll see the full workflow in action: from using Flux Turbo for rapid image-to-image elevation generation to configuring "hidden" node parameters in Runchat for multi-image inputs. Finally, we demonstrate how to export these models directly into Rhino as GLB files, complete with textures, to jumpstart your architectural modeling process.
Key techniques covered:
Comparing Hunyuan 3D vs. Trellis models for architectural geometry.
Using Flux Turbo to generate orthogonal elevations from a single reference.
Unlocking hidden input parameters for back, left, and right images in Runchat.
Exporting AI-generated meshes with textures into the Rhino viewport.
Get started for free at: runchat.com
#runchat, #rhino3d, #hunyuan3d, #3dmodeling, #generativeai, #fluxai, #fluxturbo, #architecturaldesign, #aiarchitecture, #meshgeneration, #3dmesh, #rhinotutorial, #aiworkflow, #image3d, #computationaldesign
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