Hyper3d Rodin V2 Text To 3d

Hyper3d Rodin V2 Text To 3d

Playground

Hyper3d Rodin v2 is a powerful image-to-3D model that creates high-quality 3D assets from single image.

Features

Hyper3D-Rodin-Gen-2

Hyper3D-Rodin-Gen-2 is a commercial 3D generation system from Hyper3D that converts text prompts and 2D images into production-ready 3D assets with UVs and textures, targeting games, film, XR, product design, and 3D printing workflows.

Technical Highlights

The system provides a unified pipeline for 3D geometry + texture generation:

• Gen-2 Large-Scale 3D Diffusion Model:
  Utilizes a new large 3D diffusion backbone (BANG-style architecture) trained on large-scale 3D data to produce cleaner topology and higher-fidelity meshes compared with earlier generations.

• Unified Text-to-3D & Image-to-3D API:
  A single /api/v2/rodin endpoint supports both text prompts and images:

  • Text-to-3D when only prompt is provided
  • Image-to-3D when one or multiple images are uploaded
    Multi-image modes (e.g., feature fusion, multi-view) help reconstruct more accurate shapes from different viewpoints.

• Mesh & Texture Output for Production Pipelines:
  Directly outputs UV-unwrapped meshes plus textures, supporting formats such as glb, usdz, fbx, obj, and stl. Texture modes include PBR maps (albedo, normal, roughness, metallic, etc.) and shaded/baked textures for stylized looks.

• Topology and Polycount Control:
  Provides quality presets (e.g., extra-low, low, medium, high) that map to different face counts for triangle (Raw) or quad (Quad) meshes. Advanced users can override presets with explicit face-count settings, and optional add-ons can further increase polygon density and texture resolution.

• Geometric Control and Posing:
  Supports ControlNet-style geometric constraints via 3D bounding boxes to control the approximate width, height, and length of the generated object. Character-generation options (such as enforcing T/A-pose) simplify downstream rigging and animation.

Performance and Efficiency Optimization

• Async Cloud Generation with Tiered Latency:
  Uses an asynchronous cloud pipeline: submit a job, poll status, then download results. Different quality tiers correspond to different latencies, allowing a trade-off between speed and detail.

• Cost & Quality Trade-Off via Tiers and Add-Ons:
  A credit-based billing scheme lets users balance cost, quality, and speed. Lower tiers and fewer add-ons yield faster, cheaper generations suitable for rapid iteration, while higher tiers and enhancement packs target final-quality assets.

• Multi-Modal Input and Format Interoperability:
  Supports pure text, single image, and multi-view image inputs within the same API. Output formats are compatible with common DCC and game engines such as Unity, Unreal, and standard 3D-printing workflows via STL.

• Developer Ecosystem and Integrations:
  Offers official documentation, minimal code samples, and additional endpoints (for checking balance, status polling, and texture-only operations). Rodin-Gen-2 is also available through several 3rd-party platforms, making integration into existing production pipelines and low-code tools straightforward.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/hyper3d/rodin-v2/text-to-3d" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"