fal-ai/birefnet/v2

bilateral reference framework (BiRefNet) for high-resolution dichotomous image segmentation (DIS)

Inference

Commercial use

Input

Image Url*

Hint: Drag and drop image files from your computer, images from web pages, paste from clipboard (Ctrl/Cmd+V), or provide a URL. Accepted file types: jpg, jpeg, png, webp, gif, avif

Additional Settings

Customize your input with more control.

Result

Idle

What would you like to do next?

Download

{
  "image": {
    "height": 1024,
    "file_name": "birefnet-output.png",
    "content_type": "image/png",
    "url": "https://storage.googleapis.com/falserverless/example_outputs/birefnet-output.png",
    "width": 1024
  }
}

Your request will cost $0 per compute second.

fal-ai/birefnet/v2

Input

Result

What would you like to do next?

Logs