Generation as helper

From AI 3D generation to a game-ready asset workflow

Turn AI-generated 3D models into usable game assets by previewing, editing, optimizing, converting, exporting, and generating matching assets only when needed.

Try From AI 3D generation to a game-ready asset workflow in Workspace

Start with a focused brief for From AI 3D generation to a game-ready asset workflow. Choose an example or edit it, then continue in Workspace.

Starting prompt

Launch in workspace

Best answer

AI 3D generation is only the start. To make a generated model useful, preview it, check scale and materials, optimize geometry and textures, convert to the target format, export with notes, and then generate variants or matching assets if needed.

Post-generation checklist

Preview the model and identify scale, orientation, material, texture, and file-size problems.
Repair missing textures, simplify material slots, and note any manual review needs.
Reduce polygon count or texture size when targeting browser, mobile, or Roblox-style workflows.
Convert into GLB, FBX, OBJ, or target delivery format only after the asset is inspected.
Generate similar assets or matching packs after the base asset has a stable style and scale.

Common generated-model failure modes

Messy topology

Use as prototype direction, then optimize and review before production.

Wrong scale

Normalize dimensions and pivot before engine import.

Broken materials

Repair slots, textures, UV assumptions, and PBR values.

Too heavy

Compress textures, reduce polygons, and re-check visual readability.

Workflow matrix

Stage	Question to answer	Output
Generate	What asset is missing?	First-pass model or direction.
Preview	What is broken or risky?	Issue list and review notes.
Edit/Optimize	What makes it usable?	Cleaner, lighter asset candidate.
Convert/Export	Where will it go?	Target format and engine notes.
Expand	What companion assets are needed?	Similar assets, variants, or matching pack.