AI / CreativeProof: Diagram

AI Asset Pipeline

Text-to-image-to-3D automated content generation for game assets and UI icons.

The Challenge

Generating hundreds of production-ready 3D game assets and UI icons without a full art team.

Constraints

  • Output must be production-ready (PNG RGBA, textured 3D models)
  • Pipeline must be repeatable and batch-capable
  • Quality must be consistent across hundreds of assets

Technical Decisions

  • ComfyUI as the orchestration layer -- node-based, scriptable, and reproducible
  • Juggernaut XL / Stable Diffusion for icon generation with fine-tuned prompts
  • TripoSR and Hunyuan3D for image-to-3D conversion with different quality tradeoffs
  • Blender for post-processing and batch export to game-ready formats

Highlights

  • End-to-end pipeline: text -> AI prompt -> 2D image -> background removal -> 3D model -> Blender export
  • Detailed prompt engineering research (CFG tuning, LoRA strength, negative prompts)
  • Batch processing for catalog-scale generation
  • LLM integration for automatic prompt generation from object descriptions

Results

  • Replaced manual asset creation with a repeatable automated pipeline
  • Reduced asset creation time from hours per asset to minutes

Tech

PythonComfyUIStable DiffusionTripoSRHunyuan3DBlender

Want something like this?

Describe your workflow, what you track today, and what breaks most often. I'll propose a fixed-scope audit or sprint.