Sam 3
meta/sam-3/image-rleSam 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
PNG, JPEG, WebP, or GIF · 20 MiB maximum
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-rleroute 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-rleresult 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 includeprompt,image_url,max_masks,sync_mode,apply_mask,box_prompts, defining the supported variation space for this exact route.
Pricing
| Configuration | Price |
|---|---|
| Per request | $0.005000 |
When to Use
| Scenario | Why it fits |
|---|---|
| Choose this route | When the deliverable is specifically run-length encoded image segmentation, not a neighboring generation or editing task. |
| Production iteration | When creative teams need repeatable precise spatial selection with an explicit request payload. |
| Automated pipelines | When structured masks or geometry must flow into review, storage, compositing, or publishing. |
| Controlled variations | When a stable brief should be rerun while changing only documented inputs. |
| Prototype to scale | When the same meta/sam-3/image-rle contract should serve a single experiment and a larger batch later. |
Prompt Guide
Lead with the subject or source, then state the transformation, important spatial or temporal details, style, and finish. Supply only documented fields, keep media URLs reachable, and vary one control at a time when comparing outputs.
{
"prompt": "wheel",
"image": "https://example.com/reference.jpg"
}
Technical Specs
| Property | Value |
|---|---|
| Model ID | meta/sam-3/image-rle |
| Required inputs | prompt |
prompt | string; default: wheel |
image_url | string |
max_masks | integer; default: 3 |
sync_mode | boolean; default: false |
apply_mask | boolean; default: true |
box_prompts | array; default: [] |
text_prompt | string |
include_boxes | boolean; default: false |
output_format | string; options: jpeg, png, webp; default: png |
point_prompts | array; default: [] |
include_scores | boolean; default: false |
safety_tolerance | string; default: 6 |
return_multiple_masks | boolean; default: false |
Related Models
meta/sam-3/3d-alignmeta/sam-3/3d-bodymeta/sam-3/3d-objectsmeta/sam-3/image
Start building
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
# The quoted heredoc keeps Unicode and shell metacharacters unchanged.
result=$(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
| Model | Type | Default price | Released |
|---|---|---|---|
Sam 3This model Meta | Image | $0.01 / run | Nov 20, 2025 |
Meta | Image | $0.02 / run | Dec 2, 2025 |
Meta | Image | $0.01 / run | Nov 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.
