Tripo3d H3.1 Image To 3d

Tripo3d H3.1 Image To 3d

Playground

Tripo3D H3.1 Image-to-3D converts a single image into high-quality 3D models with textures and PBR materials. Supports standard and HD texture quality, detailed geometry, quad mesh topology, texture alignment, and orientation control. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Tripo3D H3.1 Image-to-3D

Tripo3D H3.1 Image-to-3D reconstructs a production-ready 3D model from a single reference image. Upload one photo — the model generates accurate geometry with optional PBR textures, quad mesh topology, and detailed quality tiers for both geometry and texture.

• Need more accuracy? Try Tripo3D H3.1 Multiview-to-3D with 2–4 angle shots.

Why Choose This?

• Single-image 3D reconstruction Generate a fully textured 3D model from just one reference photo — no multi-view capture or manual modeling required.

• PBR material generation Generate Physically Based Rendering materials alongside the mesh for realistic real-time rendering in game engines and 3D tools.

• Geometry and texture quality tiers Choose between standard and detailed quality independently for geometry and texture — optimizing for speed, cost, or maximum fidelity.

• Quad mesh support Generate quad (4-sided) mesh topology instead of triangles for cleaner topology compatible with animation and sculpting workflows.

• Texture alignment control Align textures to the original input image or to the generated geometry for different use case requirements.

• Orientation control Use align_image to auto-rotate the model to match the input image orientation.

Parameters

How to Use

1. Upload your image — provide a clear, well-lit reference image URL of the object.
2. Configure texture settings (optional) — enable or disable texture and PBR generation, and choose standard or detailed texture quality.
3. Set geometry quality (optional) — choose standard for faster results or detailed for higher geometric fidelity.
4. Configure additional options (optional) — set texture alignment, orientation, quad mesh, and auto-size as needed.
5. Submit — generate and download your 3D model.

Pricing

Add +$0.05 to any combination above when quad is enabled.

Billing Rules

• Base: $0.20 × texture multiplier (no texture: ×1, standard texture: ×1.5, detailed texture: ×2)
• Detailed geometry surcharge: +$0.20
• Quad surcharge: +$0.05
• Default configuration (texture standard, geometry standard, no quad): $0.30

Best Use Cases

• Game asset production — Reconstruct clean, textured 3D models from product or object photography for use in game engines.
• E-commerce 3D — Generate 3D product models from a single product photo for interactive viewers and AR.
• Animation & VFX — Use quad mesh output for animation-ready topology compatible with rigging and sculpting workflows.
• Digital twins — Accurately reconstruct real-world objects from a single reference photograph.
• AR/VR content — Generate PBR-textured models for immersive application development.
• Rapid prototyping — Quickly convert reference photos into 3D assets for concept visualization.

Pro Tips

• Use a clear, well-lit photo with the subject centered and clearly visible for the most accurate reconstruction.
• Plain or neutral backgrounds help the model focus on the object geometry and texture.
• Use detailed geometry quality for objects with fine surface detail like mechanical parts or organic shapes.
• Use quad mesh when the model will be used for animation or further sculpting.
• Enable auto_size when you need the model to match real-world scale.
• For better accuracy with complex objects, consider using Multiview-to-3D with multiple angle shots.

Notes

• image is the only required field; all other parameters are optional.
• Please ensure your content complies with Tripo3D’s usage policies.

Related Models

• Tripo3D H3.1 Multiview-to-3D — Higher accuracy 3D reconstruction from 2–4 reference images.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/tripo3d/h3.1/image-to-3d" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "texture_alignment": "original_image",
    "orientation": "default",
    "texture": true,
    "pbr": true,
    "texture_quality": "standard",
    "geometry_quality": "standard",
    "auto_size": false,
    "quad": false
}'

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