Reference setup
Clarify whether the asset starts from a prompt, a single image, or multi-view references, then add image enhancement, pose guidance, part generation, and auto split notes so the Workspace request is not ambiguous.
Generation planning workbench
Use this 3D model generator settings guide to turn AI 3D model generation choices into a clean Workspace brief: text-to-3D or image-to-3D input, multi-view reference structure, topology, PBR textures, texture quality, mesh format, and polygon budget.
Clarify whether the asset starts from a prompt, a single image, or multi-view references, then add image enhancement, pose guidance, part generation, and auto split notes so the Workspace request is not ambiguous.
Choose standard topology for simple generation or smart topology / retopology when you need cleaner loops, a quad mesh editing path, triangle mesh runtime constraints, and an explicit polycount or polygon budget.
Set PBR textures and texture quality early, including 2K, 4K, or 8K expectations, so material detail matches the destination platform instead of becoming a late export surprise.
Package a game-ready 3D asset workflow with GLB, FBX, OBJ, or USDZ context for Unity, Unreal, Roblox, Godot, Web, and AR teams.
They describe the input mode, topology, mesh type, PBR texture quality, polygon budget, formats, and engine targets before the brief opens in SEELE AI Workspace.
Yes. The page lets you compare text-to-3D, image-to-3D, multi-view references, image enhancement, pose guidance, part generation, and auto split requirements.
Use quad mesh for cleaner editing, triangle mesh for runtime constraints, set a polycount or polygon budget, and choose 2K, 4K, or 8K PBR textures.
The handoff can name GLB, FBX, OBJ, and USDZ targets for Unity, Unreal, Roblox, Godot, Web, and AR game-ready 3D asset workflows.
Ready to convert these settings into a structured generation brief?
Open Workspace