falVideo to videoComing soon

fal-ai/sam-3-1/video-rle

Name: fal-ai/sam-3-1/video-rle
Brand: fal

fal-ai/sam-3-1/video-rle is a video to video tool from fal that runs in the background and returns video. Coming soon: listed with its price, not yet open to runs.

This tool is listed but not yet available to run.

Price pending

Pricing

Price pending.

Limits

Runs: In the background
Returns: video
Longest queue wait: 3600s
Run deadline: 1800s
Largest inline input: 1024 KB
Largest input file: 500 MB
Largest output: 4768 MB
Outputs per run: 16

Input

Field	Kind	Default	Description
`video_url` required	URL or file	—	The URL of the video to be segmented.
`mask_url`	URL or file	—	The URL of the mask to be applied initially.
`prompt`	text		Text prompt for segmentation. Use commas to track multiple objects (e.g., 'person, cloth').
`point_prompts`	JSON	[]	List of point prompts with frame indices.
`box_prompts`	JSON	[]	List of box prompts with optional frame_index.
`apply_mask`	true or false	false	Apply the mask on the video.
`boundingbox_zip`	true or false	false	Return per-frame bounding box overlays as a zip archive.
`detection_threshold`	number 0.01 to 1	0.5	Detection confidence threshold (0.0-1.0). Lower = more detections but less precise. Defaults: 0.5 for existing, 0.7 for new objects. Try 0.2-0.3 if text prompts fail.
`frame_index`	number (whole)	0	Frame index used for initial interaction when mask_url is provided.
`max_num_objects`	number (whole) 1 to 128	16	Maximum number of objects to track in the video.
`return_object_rles`	true or false	false	Also return every tracked object's own mask in each frame, with an id the object keeps for the whole video. The merged rle is returned as before.

Same request in code

curl https://api.spiral.ai/v1/runs \
  -H "Authorization: Bearer $SPIRAL_API_KEY" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: $(uuidgen)" \
  -d '{
    "provider": "fal",
    "model": "fal-ai/sam-3-1/video-rle",
    "input": {
      "video_url": "https://v3b.fal.media/files/b/elephant/NQdDxB0Ddfo82SPLbhYDp_bedroom.mp4"
    }
  }'