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hyper3d / rodin

Generate a production-ready, textured 3D model (GLB, USDZ, FBX, OBJ, or STL) from a text prompt or one or more reference images.

0.4
OpenAPI

Model Input

Input

Text description of the 3D object to generate. Required for text-to-3D (provide this OR one or more input images).

One or more image URLs to reconstruct into a 3D model. Required for image-to-3D (provide these OR a text prompt). Multiple images are combined per the condition_mode setting.

Additional Settings

Customize your input with more control.

How multiple input images are combined: concat treats them as different views of the same object; fuse blends features from distinct references. Only relevant when input_image_urls has more than one image.

Random seed for reproducible generation. Leave unset for a random result.

Export format of the generated 3D mesh.

Material type baked into the mesh: PBR (physically based) or Shaded.

Generation quality; higher values yield denser geometry and richer textures at the cost of speed.

Enable enhanced geometry export for finer surface detail.

Generation tier: Regular for full generation, or Sketch for a faster rough pass.

Generate human-like models in a rig-friendly T/A pose.

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Model Output

Output

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Logs (1 lines)

Model Example Requests

Examples

Model Details

Model Details

Rodin by Hyper3D turns a text description or one or more reference images into a complete, textured 3D model. You give it a prompt (text-to-3D), an image or set of images (image-to-3D), or both, and it returns a downloadable mesh with PBR materials baked in — geometry plus surface material, not just a point cloud. Choose the export format (GLB, USDZ, FBX, OBJ, or STL) and quality tier to fit your pipeline, from quick previews to high-detail production assets. Its standout is handling both input modes through a single endpoint and emitting genuinely production-ready assets suitable for games, AR/VR, and 3D printing.

## Best for - Turning a product or concept photo into a textured 3D asset for games or AR - Generating a 3D model from a text description when you have no reference image - Reconstructing an object from several views of the same subject for cleaner geometry - Producing meshes in a specific format your engine needs (USDZ for Apple AR, FBX/OBJ for DCC tools, STL for 3D printing) - Human or character models where a neutral T/A pose helps rigging

## Choose another model when - You only need a flat 2D image, not a 3D mesh — use a text-to-image or image-to-image model - You need an animated 3D scene or video rather than a static mesh — use an image-to-video model - You want to edit an existing photo rather than reconstruct geometry — use an image-editing model

## Tips - Provide either a `prompt` or `input_image_urls` (or both). Sending neither fails at generation time. - For multi-image input, set `condition_mode` to `concat` when the images are different views of the same object, or `fuse` when combining features from distinct references. - Set `geometry_file_format` to match your target pipeline; the output URL always points to a mesh in the chosen format. - Enable `TAPose` for human-like models to get a rig-friendly T/A pose.

## Advanced Configuration - `condition_mode`: `concat` (multi-view of one object, default) or `fuse` (blend features from distinct reference images). Only meaningful with multiple `input_image_urls`. - `quality`: `high`, `medium` (default), `low`, or `extra-low` — trade detail against speed. Higher quality yields denser geometry and richer textures. - `tier`: `Regular` (default) for full generation, or `Sketch` for a faster rough pass. - `material`: `PBR` (default, physically based) or `Shaded`. - `use_hyper`: enable enhanced geometry export for finer surface detail.

To run via the ModelRunner JavaScript client: ```js import { modelrunner } from "@modelrunner/client";

const result = await modelrunner.subscribe("hyper3d/rodin", { input: { prompt: "A simple wooden stool", geometry_file_format: "glb", quality: "medium", tier: "Regular", material: "PBR", }, }); ```