Meta modelsimage generation api

meta/sam-3/3d-objects

Name: Sam 3
Author: Meta

Sam 3 3d Objects by Meta - convert 2D images into 3D models with AI. Generate textured 3D assets from single photos for games, AR/VR, e-commerce, and digital content creation.

Input

Prompt(string)

Text prompt for auto-segmentation when no masks provided (e.g., 'chair', 'lamp')

Image URL or upload(string)

Upload

PNG, JPEG, WebP, or GIF · 20 MiB maximum

URL of the image to reconstruct in 3D

This field is required.

Point Prompts(array)

Point prompts for auto-segmentation when no masks provided

Detection Threshold(number)

0.11

Detection confidence threshold (0.1-1.0). Lower = more detections but less precise. If not set, uses the model's default. Range: 0.1 to 1.

Box Prompts(array)

Box prompts for auto-segmentation when no masks provided. Multiple boxes supported - each produces a separate object mask for 3D reconstruction.

Pointmap Url(string)

Optional URL to external pointmap/depth data (NPY or NPZ format) for improved 3D reconstruction depth estimation

Export Textured Glb(boolean)

If True, exports GLB with baked texture and UVs instead of vertex colors.

Mask Urls(array)

Optional list of mask URLs (one per object). If not provided, use prompt/point_prompts/box_prompts to auto-segment, or entire image will be used.

Seed(integer)

Random seed for reproducibility

Idle

Example output — click Run to generate your own

Production endpoint

Send your first request

OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run

Model IDmeta/sam-3/3d-objects

Input Schema

9 parameters · 2 required · 7 optional

Parameter	Type	Required	Description
`image`	string	Required	URL of the image to reconstruct in 3D
`prompt`	string	Required	Text prompt for auto-segmentation when no masks provided (e.g., 'chair', 'lamp') · Default: "car"
`seed`	integer	Optional	Random seed for reproducibility
`mask_urls`	string[]	Optional	Optional list of mask URLs (one per object). If not provided, use prompt/point_prompts/box_prompts to auto-segment, or entire image will be used.
`box_prompts`	object[]	Optional	Box prompts for auto-segmentation when no masks provided. Multiple boxes supported - each produces a separate object mask for 3D reconstruction. · Default: []
`pointmap_url`	string	Optional	Optional URL to external pointmap/depth data (NPY or NPZ format) for improved 3D reconstruction depth estimation
`point_prompts`	object[]	Optional	Point prompts for auto-segmentation when no masks provided · Default: []
`detection_threshold`	number	Optional	Detection confidence threshold (0.1-1.0). Lower = more detections but less precise. If not set, uses the model's default. · Min: 0.1 · Max: 1
`export_textured_glb`	boolean	Optional	If True, exports GLB with baked texture and UVs instead of vertex colors. · Default: false

Output Schema

Field	Type	Description
`id`	string	Unique identifier for the generation task
`status`	string	Task status: pending, running, completed, failed, timeout
`model`	string	Model used for the generation
`outputs`	array	Array of output items
`outputs[].url`	string	URL of the generated artifact
`outputs[].content_type`	string	MIME type (e.g. image/png, video/mp4)
`error`	object \| null	Error details if failed, null on success
`error.type`	string	Machine-readable error type code
`error.message`	string	Human-readable error description

Async Workflow

This model uses asynchronous execution. Submit a request and poll for the result.

Submit — POST to /v1/run, receive an id
Poll — GET /v1/run/{id} until status is completed, failed, or timeout
Retrieve — Read outputs from the completed response

Code Examples

Ready-to-run snippets

# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
  "model": "meta/sam-3/3d-objects",
  "image": "https://static.sandbase.ai/examples/meta/sam-3/3d-objects/input_image_0.jpeg",
  "prompt": "car",
  "box_prompts": [],
  "point_prompts": [],
  "export_textured_glb": false
}'

# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
  -H "Authorization: Bearer YOUR_API_KEY"

← Back to Sam 3

API README

Sam 3 3D Objects

Sam 3 3D Objects is built for promptable segmentation and reconstruction, with this exact route focused on object-level 3D reconstruction. Sam 3 3d Objects by Meta - convert 2D images into 3D models with AI. Generate textured 3D assets from single photos for games, AR/VR, e-commerce, and digital content creation. It is designed for production workflows that need a clearly scoped media operation instead of a generic assistant response, preserving the supplied direction while returning an artifact ready for review, iteration, or downstream assembly.

The request surface keeps creative direction and delivery choices explicit through seed, prompt, image_url, mask_urls, sync_mode, box_prompts. Teams can lock source material, describe the intended result, choose supported output controls, and rerun the same request structure across variations. This makes experiments easier to compare and larger pipelines easier to operate without hiding important decisions inside an opaque preset.

Highlights

Object-Level 3D Reconstruction. The meta/sam-3/3d-objects route is dedicated to object-level 3D reconstruction, keeping inputs and outputs matched to this operation.
Precise Spatial Selection. Within meta/sam-3/3d-objects, documented prompt and media controls direct precise spatial selection while keeping the brief close to the result.
Structured Masks Or Geometry. The meta/sam-3/3d-objects result provides structured masks or geometry in a machine-consumable form for review and downstream production.
Route-specific control. For meta/sam-3/3d-objects, documented controls include seed, prompt, image_url, mask_urls, sync_mode, box_prompts, defining the supported variation space for this exact route.

Pricing

Configuration	Price
Per request	`$0.020000`

When to Use

Scenario	Why it fits
Choose this route	When the deliverable is specifically object-level 3D reconstruction, not a neighboring generation or editing task.
Production iteration	When creative teams need repeatable precise spatial selection with an explicit request payload.
Automated pipelines	When structured masks or geometry must flow into review, storage, compositing, or publishing.
Controlled variations	When a stable brief should be rerun while changing only documented inputs.
Prototype to scale	When the same `meta/sam-3/3d-objects` contract should serve a single experiment and a larger batch later.

Prompt Guide

Lead with the subject or source, then state the transformation, important spatial or temporal details, style, and finish. Supply only documented fields, keep media URLs reachable, and vary one control at a time when comparing outputs.

{
  "prompt": "car",
  "image": "https://example.com/reference.jpg"
}

Technical Specs

Property	Value
Model ID	`meta/sam-3/3d-objects`
Required inputs	`image`
`seed`	integer
`prompt`	string; default: car
`image_url`	string
`mask_urls`	array
`sync_mode`	boolean; default: false
`box_prompts`	array; default: []
`pointmap_url`	string
`point_prompts`	array; default: []
`safety_tolerance`	string; default: 6
`detection_threshold`	number
`export_textured_glb`	boolean; default: false
`image`	string; required

Related Models

meta/sam-3/3d-align
meta/sam-3/3d-body
meta/sam-3/image
meta/sam-3/image-rle