Using Hunyuan3D and fal.ai in Unreal Engine
fal.ai aggregates cutting-edge AI 3D generation research models behind a simple API — including Tencent's Hunyuan3D v2.1, TripoSR, Rodin, and Trellis 2. Access the latest academic breakthroughs in 3D generation directly from Unreal Engine.
Available Backends
- Hunyuan3D v2.1 — Tencent's latest image-to-3D model with strong geometry and texture quality
- TripoSR — Fast single-image 3D reconstruction with clean meshes
- Rodin — High-fidelity 3D generation via Hyper3D's inference engine
- Trellis 2 — Advanced 3D generation with configurable inference parameters
Why fal.ai?
- Cutting edge. Access research models that might not have their own production APIs yet.
- Configurable. Adjust inference steps, guidance scale, and other generation parameters for fine-tuned results.
- Competitive pricing. Often cheaper than dedicated providers for the same model quality.
- Image-to-3D focus. Convert concept art, photos, or rendered images into 3D models.
Which Backend Should You Pick?
- Need best open-source quality: start with Hunyuan3D.
- Need very fast iteration: use TripoSR for rough ideation first.
- Need richer PBR output: test Rodin and Trellis 2 on the same reference image.
- Need production consistency: lock one backend per asset category (characters, props, environment) to avoid style drift.
Input Tips That Improve Results
- Use front-facing, centered references with clear silhouette separation.
- Avoid heavy shadows and busy backgrounds in source images.
- For hard-surface assets, include material intent in the prompt: "brushed metal", "painted aluminum", "worn edges".
- For characters, run a cleanup/remesh pass before animation tests.
Integration
GenAI Model Generator integrates fal.ai alongside Meshy, Tripo AI, Hyper3D Rodin, and Google through a unified Unreal Engine API. Switch between backends with a single parameter change.