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Sam 3

meta/sam-3/image-rle

Sam 3 Image Rle is Meta's intelligent image editing model. Transform, retouch, and reimagine existing images using text prompts - from background replacement to artistic style conversion.

Base price
$0.005USD / run
Execution
async
Model type
image
Input fields
11

Try the model

Playground

Open playground
Input
Text prompt for segmentation

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

URL of the image to be segmented
The format of the generated image. Allowed values: jpeg, png.
Apply the mask on the image.
132
Maximum number of masks to return when `return_multiple_masks` is enabled. Range: 1 to 32.
Whether to include mask confidence scores.
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.
If True, upload and return multiple generated masks as defined by `max_masks`.
[DEPRECATED] Use 'prompt' instead. Kept for backward compatibility.
List of point prompts
Whether to include bounding boxes for each mask (when available).
OutputReady

Your output will appear here

Complete the inputs, then click Run.

Model card

Specifications

Pricing

Base price
$0.005 / run

Context & modalities

Input
Schema-defined
Output
image

Capabilities

Chat
Not supported
Vision
Not supported
Reasoning
Not supported
Structured output
Not supported
Function calling
Not supported
Audio input
Not supported

Access

Provider
Meta
Model ID
meta/sam-3/image-rle
Execution
async
Base URL
https://api.sandbase.ai
API
Unified Run API
Endpoint
/v1/run

API README

Sam 3 Image Rle

Sam 3 Image Rle is built for promptable segmentation and reconstruction, with this exact route focused on run-length encoded image segmentation. Sam 3 Image Rle is Meta's intelligent image editing model. Transform, retouch, and reimagine existing images using text prompts - from background replacement to artistic style conversion. 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 prompt, image_url, max_masks, sync_mode, apply_mask, 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

  • Run-Length Encoded Image Segmentation. The meta/sam-3/image-rle route is dedicated to run-length encoded image segmentation, keeping inputs and outputs matched to this operation.
  • Precise Spatial Selection. Within meta/sam-3/image-rle, 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/image-rle result provides structured masks or geometry in a machine-consumable form for review and downstream production.
  • Route-specific control. For meta/sam-3/image-rle, documented controls include prompt, image_url, max_masks, sync_mode, apply_mask, box_prompts, defining the supported variation space for this exact route.

Pricing

ConfigurationPrice
Per request$0.005000

When to Use

ScenarioWhy it fits
Choose this routeWhen the deliverable is specifically run-length encoded image segmentation, not a neighboring generation or editing task.
Production iterationWhen creative teams need repeatable precise spatial selection with an explicit request payload.
Automated pipelinesWhen structured masks or geometry must flow into review, storage, compositing, or publishing.
Controlled variationsWhen a stable brief should be rerun while changing only documented inputs.
Prototype to scaleWhen the same meta/sam-3/image-rle 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": "wheel",
  "image": "https://example.com/reference.jpg"
}

Technical Specs

PropertyValue
Model IDmeta/sam-3/image-rle
Required inputsprompt
promptstring; default: wheel
image_urlstring
max_masksinteger; default: 3
sync_modeboolean; default: false
apply_maskboolean; default: true
box_promptsarray; default: []
text_promptstring
include_boxesboolean; default: false
output_formatstring; options: jpeg, png, webp; default: png
point_promptsarray; default: []
include_scoresboolean; default: false
safety_tolerancestring; default: 6
return_multiple_masksboolean; default: false

Related Models

  • meta/sam-3/3d-align
  • meta/sam-3/3d-body
  • meta/sam-3/3d-objects
  • meta/sam-3/image

Start building

Send your first request

OpenAI-compatible endpoint with unified authentication and usage tracking.

Production API
Unified Run API endpoint
https://api.sandbase.ai/v1/run
Model ID
meta/sam-3/image-rle
# The quoted heredoc keeps Unicode and shell metacharacters unchanged.
result=$(curl --fail-with-body --silent \
  -X POST "https://api.sandbase.ai/v1/run" \
  -H "Authorization: Bearer $SANDBASE_API_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'SANDBASE_JSON'
{
  "model": "meta/sam-3/image-rle",
  "image": "https://raw.githubusercontent.com/facebookresearch/segment-anything-2/main/notebooks/images/truck.jpg",
  "prompt": "wheel",
  "max_masks": 3,
  "apply_mask": true,
  "box_prompts": [],
  "include_boxes": false,
  "output_format": "png",
  "point_prompts": [],
  "include_scores": false,
  "return_multiple_masks": false
}
SANDBASE_JSON
)
run_id=$(printf '%s' "$result" | jq -r .id)
for attempt in $(seq 1 120); do
  status=$(printf '%s' "$result" | jq -r .status)
  case "$status" in completed|failed|timeout) break ;; esac
  sleep 2
  result=$(curl --fail-with-body --silent \
    -H "Authorization: Bearer $SANDBASE_API_KEY" \
    "https://api.sandbase.ai/v1/run/$run_id")
done
status=$(printf '%s' "$result" | jq -r .status)
[ "$status" = completed ] || { echo "Generation ended: $status" >&2; exit 1; }
printf '%s\n' "$result"

Choose your model

Compare models

All image & video models
ModelTypeDefault priceReleased
Sam 3This model
Meta
Image$0.01 / runNov 20, 2025
MetaImage$0.02 / runDec 2, 2025
MetaImage$0.01 / runNov 20, 2025

Questions

FAQ

How do I call Meta Sam 3 through SandBase?

Create a SandBase API key, then send requests with the model ID "meta/sam-3/image-rle" to Unified Run API (/v1/run) at https://api.sandbase.ai. The request examples on this page show the exact payload.

Do I need a separate Meta account?

No. One SandBase API key and balance gives you access to Meta Sam 3 and the other models in the catalog; you do not need to sign up with Meta separately.