Meta

This page is auto-generated from model configurations. Last updated: 2026-03-13.

This reference lists all available Meta 3d generation models and their parameters. Use these parameter names when calling the Generation API.

SAM3D Align

Align SAM-3D Body mesh with the original image using Meta's SAM 3D Align. Aligns body meshes with images for accurate 3D reconstruction.

Model ID: model_meta-sam-3d-align

Capabilities: 3d23d

LLM Markdown: https://app.scenario.com/api/models/model_meta-sam-3d-align/markdown

Parameter	Type	Required	Default	Min	Max	Allowed Values	Description
`image`	file	Yes	-	-	-	-	Original image used for MoGe depth estimation
`bodyMesh`	file	Yes	-	-	-	-	SAM-3D Body mesh file to align
`bodyMask`	file	No	-	-	-	-	The human mask image. If not provided, uses full image.
`objectMesh`	file	No	-	-	-	-	Optional SAM-3D Object mesh (.glb) to create combined scene
`focalLength`	number	No	-	0	-	-	Focal length from SAM-3D Body metadata. If not provided, estimated from MoGe.

Generate 3D body meshes from images using Meta's SAM (Segment Anything Model) 3D Body. Extract and reconstruct human bodies from images as 3D models.

Model ID: model_meta-sam-3d-body

Capabilities: img23d

LLM Markdown: https://app.scenario.com/api/models/model_meta-sam-3d-body/markdown

Parameter	Type	Required	Default	Min	Max	Allowed Values	Description
`image`	file	Yes	-	-	-	-	Input image to extract body meshes from

Generate 3D objects from images using Meta's SAM (Segment Anything Model) 3D Objects. Extract objects from images and convert them to 3D models.

Model ID: model_meta-sam-3d-objects

Capabilities: img23d

LLM Markdown: https://app.scenario.com/api/models/model_meta-sam-3d-objects/markdown

Parameter	Type	Required	Default	Min	Max	Allowed Values	Description
`image`	file	Yes	-	-	-	-	Input image to extract objects from
`prompt`	string	No	-	-	-	-	Text prompt for auto-segmentation when no masks provided (e.g., 'chair', 'lamp')
`mask`	file_array	No	-	-	-	-	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.
`pointPrompts`	inputs_array	No	-	-	-	-	Point prompts for auto-segmentation when no masks provided. JSON array of objects with 'x', 'y', and optional 'object_id' fields.
`boxPrompts`	inputs_array	No	-	-	-	-	Box prompts for auto-segmentation when no masks provided. JSON array of objects with 'x1', 'y1', 'x2', 'y2', and optional 'object_id' fields.
`seed`	number	No	-	0	-	-	Random seed. Leave blank to randomize the seed