Birefnet

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

Options: General Use (Light), General Use (Light 2K), General Use (Heavy), Matting, Portrait, General Use (Dynamic)

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.

Options: 1024x1024, 2048x2048, 2304x2304

Whether to output the mask used to remove the background

Whether to refine the foreground using the estimated mask

If `True`, the media will be returned as a data URI and the output data won't be available in the request history.

URL of the video to remove background from

The output type of the generated video.

Options: X264 (.mp4), VP9 (.webm), PRORES4444 (.mov), GIF (.gif)

The quality of the generated video.

Options: low, medium, high

The write mode of the generated video.

Options: fast, balanced, small