SAM 3D Objects

SAM 3D Objects is a foundation 3D model from Meta that reconstructs full 3D shape geometry, realistic texture, and scene layout of objects from a single RGB image. It produces high-fidelity 3D meshes robustly even in cluttered, occluded real-world scenes, and significantly outperforms prior single-image 3D methods. SAM 3D Objects is part of the broader SAM 3D family, enabling 2D-to-3D reconstruction workflows for visualization, AR/VR, robotics, and digital content creation.

Complete technical specification for integration
Ready-to-use code snippets for common workflows
API Options
Platform-level options for task execution and delivery.
taskType
stringrequiredvalue: 3dInferenceIdentifier for the type of task being performed.
taskUUID
stringrequiredUUID v4UUID v4 identifier for tracking tasks and matching async responses. Must be unique per task.
outputType
stringdefault: URL3D output type.
Allowed values1 value
outputFormat
stringdefault: GLBSpecifies the file format of the generated output. The available values depend on the task type and the specific model's capabilities.
- `GLB`: Binary glTF format for 3D models, including geometry, textures, and PBR materials.
Allowed values1 value
webhookURL
stringuriWebhook URL that receives JSON responses via HTTP POST when generation tasks complete. For batch requests with multiple results, each completed item triggers a separate webhook call as it becomes available.
Learn more1 resource
- WebhooksPLATFORM
- Webhooks
deliveryMethod
stringdefault: asyncDetermines how the API delivers task results.
Allowed values2 values
- Returns complete results directly in the API response.
- Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse.
Learn more1 resource
- Task PollingPLATFORM
uploadEndpoint
stringuriSpecifies a URL where the generated content will be automatically uploaded using the HTTP PUT method. The raw binary data of the media file is sent directly as the request body. For secure uploads to cloud storage, use presigned URLs that include temporary authentication credentials.
Common use cases:
- Cloud storage: Upload directly to S3 buckets, Google Cloud Storage, or Azure Blob Storage using presigned URLs.
- CDN integration: Upload to content delivery networks for immediate distribution.
// S3 presigned URL for secure upload https://your-bucket.s3.amazonaws.com/generated/content.mp4?X-Amz-Signature=abc123&X-Amz-Expires=3600 // Google Cloud Storage presigned URL https://storage.googleapis.com/your-bucket/content.jpg?X-Goog-Signature=xyz789 // Custom storage endpoint https://storage.example.com/uploads/generated-image.jpgThe content data will be sent as the request body to the specified URL when generation is complete.
ttl
integermin: 60Time-to-live (TTL) in seconds for generated content. Only applies when
outputTypeisURL.
includeCost
booleanInclude task cost in the response.
numberResults
integermin: 1max: 4default: 1Number of results to generate. Each result uses a different seed, producing variations of the same parameters.
routing
objectModel router options. Only read when
modelisauto, and never sent to the model.Properties3 properties
routing»preferencespreferences
objectRelative importance of each dimension when models are compared. Weights, not thresholds.
Properties3 properties
routing»preferences»qualityquality
integermin: 0max: 5Importance of one dimension.
0leaves it out of the decision.
routing»preferences»speedspeed
integermin: 0max: 5Importance of one dimension.
0leaves it out of the decision.
routing»preferences»costcost
integermin: 0max: 5Importance of one dimension.
0leaves it out of the decision.
routing»maxPricemaxPrice
floatmin: 0Upper bound on what this request may cost, in USD. A model whose cost cannot be bounded is not chosen.
routing»requirementsrequirements
stringmax: 3000Conditions the result has to meet, in plain words. A model that cannot meet them is not chosen.
Inputs
Input resources for the task (images, audio, etc). These must be nested inside the inputs object.
inputs object.Core Parameters
Primary parameters that define the task output.
model
stringrequiredvalue: meta:sam@3dSend
autoinstead of an AIR identifier to have the model router choose the model for this task. The rest of the request is unchanged, every value you send is kept, and only the parameters you leave out are filled in. See Model Router.Learn more3 resources
positivePrompt
stringrequiredText prompt describing elements to include in the generated output.
Learn more1 resource
- PromptsLEARN
- Prompts