grey-hound432/fast-bg-removal

Fast background removal for images. Designed for product photos, ecommerce, and bulk workflows.

Public
1 run
License
GitHub
Playground API Examples README Versions

Fast Background Removal

This model removes backgrounds from images quickly and reliably using the open-source rembg library.

Use cases

  • Product photos for ecommerce
  • Thumbnails and marketing images
  • Bulk image processing
  • Content pipelines

Features

  • Fast execution
  • Simple interface
  • Transparent PNG output
  • Commercial-safe (MIT licensed)

How it works

The model uses a pre-trained segmentation network to separate foreground objects from the background and outputs a clean RGBA image.

Input

  • image: An image file (PNG, JPG, etc.)

Output

  • A PNG image with the background removed

License

This model is built using the open-source rembg project, which is licensed under the MIT License and allows commercial use.

Notes

  • Best results on clear subjects with good contrast
  • No training or data collection is performed
  • Fast background removal: grey-hound432/fast-bg-removal
  • MIT image upscaler: grey-hound432/fast-image-upscaler-mit
  • Image format converter: grey-hound432/image-format-converter-mit

Here is an example:

import replicate

output = replicate.run( “grey-hound432/fast-bg-removal”, input={“image”: open(“image.png”, “rb”)} )

Model created