falVideo to videoComing soon

fal-ai/birefnet/v2/video

Name: fal-ai/birefnet/v2/video
Brand: fal

fal-ai/birefnet/v2/video 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
`model`	one of General Use (Light), General Use (Light 2K), General Use (Heavy), Matting, Portrait, General Use (Dynamic)	General Use (Light)	Model to use for background removal. The 'General Use (Light)' model is the original model used in the BiRefNet repository. The 'General Use (Light 2K)' model is the original model used in the BiRefNet repository but trained with 2K images. The 'General Use (Heavy)' model is a slower but more accurate model. The 'Matting' model is a model trained specifically for matting images. The 'Portrait' model is a model trained specifically for portrait images. The 'General Use (Dynamic)' model supports dynamic resolutions from 256x256 to 2304x2304. The 'General Use (Light)' model is recommended for most use cases. The corresponding models are as follows: - 'General Use (Light)': BiRefNet - 'General Use (Light 2K)': BiRefNet_lite-2K - 'General Use (Heavy)': BiRefNet_lite - 'Matting': BiRefNet-matting - 'Portrait': BiRefNet-portrait - 'General Use (Dynamic)': BiRefNet_dynamic
`operating_resolution`	one of 1024x1024, 2048x2048, 2304x2304	1024x1024	The resolution to operate on. The higher the resolution, the more accurate the output will be for high res input images. The '2304x2304' option is only available for the 'General Use (Dynamic)' model.
`output_mask`	true or false	false	Whether to output the mask used to remove the background
`refine_foreground`	true or false	true	Whether to refine the foreground using the estimated mask
`video_url` required	URL or file	—	URL of the video to remove background from
`video_output_type`	one of X264 (.mp4), VP9 (.webm), PRORES4444 (.mov), GIF (.gif)	X264 (.mp4)	The output type of the generated video.
`video_quality`	one of low, medium, high, maximum	high	The quality of the generated video.
`video_write_mode`	one of fast, balanced, small	balanced	The write mode of the generated video.

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/birefnet/v2/video",
    "input": {
      "video_url": "https://storage.googleapis.com/falserverless/example_inputs/birefnet-video-input.mp4"
    }
  }'