Hyper3d Rodin V2 Image To 3d

Hyper3d Rodin V2 Image To 3d

Playground

Hyper3D Rodin v2 turns a single image into production-ready 3D assets with clean topology, UVs and textures. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Hyper3D-Rodin-Gen-2 — Text / Image to 3D

Hyper3D-Rodin-Gen-2 is Hyper3D’s commercial 3D generation system that turns text prompts or 2D images into production-ready 3D assets with UVs and textures. It targets game art, film/TV, XR, product visualisation and even 3D printing workflows.

🔧 What it does

• Text-to-3D & Image-to-3D in one model Enter a prompt, upload one or more images, or combine both. Multi-view images help reconstruct more accurate shapes.

• Geometry + textures, ready for DCC / engines Outputs UV-unwrapped meshes plus PBR or shaded textures for use in Unity, Unreal, Blender, Maya, 3D printing pipelines, etc.

• Topology & resolution control Choose between quad meshes (good for sculpting / rigging) or triangle meshes (game-ready), and pick an approximate polycount tier.

• Geometric & pose control Optional bounding-box constraints and T/A-pose enforcement help keep characters and props within expected proportions and ready for rigging.

🧩 Parameters

1. Core inputs

• prompt Natural-language description of the object (shape, style, material, usage).

• images* One or more reference images (front / side / 3-view / concept art).

  • With only text → Text-to-3D
  • With images (and optional text) → Image-to-3D / guided Text-to-3D

• material Rendering/material mode for textures:

  • PBR – Physically-based maps (albedo, normal, roughness, metallic, etc.).
  • Shaded – Baked / stylised look.
  • All – Export both PBR and shaded variants.

2. Quality & mesh settings

• quality_and_mesh Controls mesh type and target polycount:

  • 4k_Quad, 8k_Quad, 18k_Quad, 50k_Quad → Quad-dominant topology at roughly 4k / 8k / 18k / 50k faces. Best for character work, sculpting, retopology and rigging.

  • 2K_Triangle, 20K_Triangle, 250K_Triangle, 500K_Triangle → Triangle meshes at increasing density. Good for game engines, previs, or high-detail props.

  Higher tiers give more detail but larger file sizes and longer generation time.

• addons Optional enhancement packs. Currently:

  • HighPack – Increases mesh and texture fidelity (higher polycount / resolution) for final-quality assets.

3. Output format

• geometry_file_format Choose which 3D file you want back:

  • glb – Compact, modern, web-friendly (recommended default).
  • fbx – Widely used for DCC and game engines.
  • obj – Simple geometry + MTL, highly compatible.
  • stl – For 3D printing workflows.
  • usdz – Apple-friendly AR format.

4. Advanced geometric control

• bbox_condition A ControlNet-style bounding box that limits the maximum size of the generated model (width / height / depth). Useful when you need consistent scaling across a whole asset library.

• TAPose When enabled, forces humanoid characters into a T-pose / A-pose for easier rigging and animation downstream.

• use_original_alpha If your input image has transparency, this option lets the model respect the original alpha silhouette during generation (handy for cut-out product shots or stylised characters).

• preview_render Adds a quick preview render (e.g., turntable / shaded view) to the download bundle so you can inspect the result without opening a DCC tool.

5. Randomness & reproducibility

• seed Random seed for generation:

  • Leave empty / default → random each time.
  • Set to a fixed integer → reproduce the same model configuration (useful for iteration with small prompt tweaks).

🚀 Typical workflow

1. Decide on input mode

   • For concepting: start with prompt only.
   • For fidelity: upload one or more reference images and optionally add a short prompt.

2. Pick material & mesh quality

   • PBR + 8k_Quad or 18k_Quad for game/film characters.
   • PBR + 20K_Triangle for background props.
   • Add HighPack when you’re close to final asset quality.

3. Set geometry_file_format to match your pipeline (e.g., glb for web, fbx for DCC, stl for printing).

4. (Optional) Add bbox_condition, enable TAPose for characters, and toggle use_original_alpha if your reference image uses transparency.

5. (Optional) Turn on preview_render to get a ready-to-view render in the output zip.

6. Set a seed if you want to be able to regenerate or slightly tweak the same base model.

7. Click Run — once the job finishes, download the mesh + textures bundle and import into your DCC, engine, or 3D-printing tool.

Price

• Per genration cost $0.3.

💡 Tips

• Use clean, centered references with good lighting for image-to-3D. Multi-view images greatly improve shape accuracy.
• Start with medium polycount tiers (8k_Quad, 20K_Triangle) for fast iteration, then switch to higher tiers + HighPack for final export.
• For rigged characters, combine TAPose + quad meshes and export as fbx or glb.
• If scale consistency matters across a project, define a shared bbox_condition and reuse it for all related assets.

Mode 3D Models

• tripo3d/v2.5/image-to-3d Tripo3D’s v2.5 image-to-3D model turns a single product or concept image into a textured, game-ready 3D asset for e-commerce, AR/VR and real-time engines.

• tripo3d/v2.5/multiview-to-3d Tripo3D’s multi-view 3D reconstruction model uses several photos of the same object to generate higher-fidelity meshes and textures for digital twins and 3D catalogs.

• hunyuan3d/v2.1 Tencent Hunyuan3D v2.1 (hosted by WaveSpeedAI) converts text prompts into detailed 3D models, ideal for stylised characters, props and environment assets in games and animation.

• hunyuan3d-v2-multi-view Tencent Hunyuan3D v2 multi-view leverages multiple reference images to create accurate, textured 3D assets for digital humans, product visualization and virtual production workflows.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/hyper3d/rodin-v2/image-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}"