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Sam 3 1

Edits a video you give it

Liveby fal

SAM 3.1 builds comes with Object Multiplex, a shared-memory approach for joint multi-object tracking that delivers faster speeds with larger number of objects tracked.

Ask your agent

Say it in your own words. Your agent picks this tool, fills in the details and brings back the answer.

Use Sam 3 1 to make this clip look like it was shot at night.
Change the background of this video to a beach.

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How it works

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For developersSummary, tool id, API call and input schema

Video API by fal, callable through Superpowers. It costs $0.011 per video, charged only when the call succeeds. Call it with one API key: POST /v1/run with "tool": "fal.sam-3-1-video", or over MCP with run_tool.

Tool id
Price per call
$0.011 / video

Call it

Also over MCP as run_tool
curl -X POST https://superpowers.tools/v1/run \
  -H 'Authorization: Bearer $SP_KEY' \
  -d '{"tool":"fal.sam-3-1-video","input":{"video_url":""},"idempotency_key":"example-request-1"}'

Input

8 fields · 1 required
{
  "type": "object",
  "required": [
    "video_url"
  ],
  "properties": {
    "video_output_type": {
      "type": "string",
      "description": "The output type of the generated video.",
      "default": "X264 (.mp4)",
      "enum": [
        "X264 (.mp4)",
        "VP9 (.webm)"
      ]
    },
    "point_prompts": {
      "type": "array",
      "description": "List of point prompts",
      "default": []
    },
    "video_url": {
      "type": "string",
      "description": "The URL of the video to be segmented."
    },
    "max_num_objects": {
      "type": "integer",
      "description": "Maximum number of objects to track in the video.",
      "default": 16
    },
    "prompt": {
      "type": "string",
      "description": "Text prompt for segmentation. Use commas to track multiple objects (e.g., 'person, cloth').",
      "default": ""
    },
    "apply_mask": {
      "type": "boolean",
      "description": "Apply the mask on the video.",
      "default": true
    },
    "detection_threshold": {
      "type": "number",
      "description": "Detection confidence threshold (0.0-1.0). Lower = more detections but less precise.",
      "default": 0.5
    },
    "box_prompts": {
      "type": "array",
      "description": "List of box prompt coordinates (x_min, y_min, x_max, y_max).",
      "default": []
    }
  }
}