Meta
This page is auto-generated from model configurations. Last updated: 2026-09-01.
This reference lists all available Meta 3d generation models and their parameters. Use these parameter names when calling the Generation API.
SAM3D Align
Section titled “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. |
SAM3D Body
Section titled “SAM3D Body”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 |
SAM3D Objects
Section titled “SAM3D Objects”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 | - | - | - | - | Short noun phrase selecting the object to reconstruct when no masks are provided (e.g., ‘chair’, ‘wooden lamp’, ‘ceramic vase’). Use a noun phrase, not a full sentence: prompts are capped at 120 characters (about 20 words). Leave blank to use point/box prompts or the whole image. |
mask |
file_array | No | - | - | - | - | Optional list of masks (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 are provided. Label 1 = include this point, 0 = exclude it. Use Object ID to group points belonging to the same object; each distinct Object ID is reconstructed as a separate mesh. |
boxPrompts |
inputs_array | No | - | - | - | - | Box prompts for auto-segmentation when no masks are provided. Set all four bounds (X min/max, Y min/max) on each row. Use Object ID to group boxes belonging to the same object; each distinct Object ID is reconstructed as a separate mesh. |
seed |
number | No | - | 0 | - | - | Random seed. Leave blank to randomize the seed |