API reference · Meta
meta/sam-3-1/image-rle
Integrate this model through SandBase's unified API, with production-ready schemas and examples.
Production endpoint
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
POST
https://api.sandbase.ai/v1/runModel ID
meta/sam-3-1/image-rle01
Input Schema
10 parameters · 2 required · 8 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
image | string | Required | URL of the image to be segmented |
prompt | string | Required | Text prompt for segmentation · Default: "wheel" |
max_masks | integer | Optional | Maximum number of masks to return when `return_multiple_masks` is enabled. · Min: 1 · Max: 32 · Default: 3 |
apply_mask | boolean | Optional | Apply the mask on the image. · Default: true |
box_prompts | object[] | Optional | Box prompt coordinates (x_min, y_min, x_max, y_max). Multiple boxes supported - use object_id to group boxes for the same object or leave empty for separate objects. · Default: [] |
include_boxes | boolean | Optional | Whether to include bounding boxes for each mask (when available). · Default: false |
output_format | string | Optional | The format of the generated image. · Options: jpeg, png · Default: "png" jpegpng |
point_prompts | object[] | Optional | List of point prompts · Default: [] |
include_scores | boolean | Optional | Whether to include mask confidence scores. · Default: false |
return_multiple_masks | boolean | Optional | If True, upload and return multiple generated masks as defined by `max_masks`. · Default: false |
02
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, ortimeout - Retrieve — Read
outputsfrom the completed response
03
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-3-1/image-rle",
"image": "https://raw.githubusercontent.com/facebookresearch/segment-anything-2/main/notebooks/images/truck.jpg",
"prompt": "wheel",
"max_masks": 3,
"apply_mask": true,
"box_prompts": [],
"include_boxes": false,
"output_format": "png",
"point_prompts": [],
"include_scores": false,
"return_multiple_masks": false
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"
