10 actions in 8 pieces of software · ranked by words, meaning and measured trust · 557 ms

1. 1men1scus/birefnetverified and signedpassport

   modelrecord

   • men1scus/birefnet

     Bilateral Reference for High-Resolution Dichotomous Image Segmentation (CAAI AIR 2024)

2. 2birefnet-lite-512verified and signedpassport

   modelrecord17,066 downloads/month

   • image-segmentation

     Task: image-segmentation

3. 3sprited/birefnetverified and signedpassport

   modelrecord

   • sprited/birefnet

     Complete BiRefNet background removal — all 10 official variants plus the ToonOut anime model, with cutout or mask output. MIT-licensed for commercial use.

4. 4sprited/birefnet-videoverified and signedpassport

   modelrecord

   • sprited/birefnet-video

     BiRefNet video background removal — every variant + ToonOut, applied per frame. Transparent WebM output by default (also MP4/MOV/GIF). MIT-licensed for commercial use.

5. 5m-kunz/birefnet_portraitverified and signedpassport

   modelrecord

   • m-kunz/birefnet_portrait

     Removes the background of images, optimized for human portraits

6. 6sprited/birefnet-toonoutverified and signedpassport

   modelrecord

   • sprited/birefnet-toonout

     Unofficial community packaging of ToonOut by Muratori & Seytre — anime-specialized background removal (BiRefNet fine-tune, MIT)

7. 7background-removalverified and signedpassport

   skillinference-sh/skillsrecord

   • background-removal

     Remove backgrounds from images with BiRefNet via inference.sh CLI. Model: BiRefNet (high accuracy background removal). Use for: product photos, portraits, e-commerce, transparent PNGs, photo editing. Triggers: remove background, background removal, remove bg, transparent background, cut out image, b

8. 8background removal BiRefNetdemo or tutorialno passport yet

   MCP serverrecord

   • background_removal_cpu_process_file

     Load an image file from disk, remove the background, and save the output as a transparent PNG. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool

   • background_removal_cpu_fn_1

     Remove the background from an image and return both the transparent version and the original. This function performs background removal using a BiRefNet segmentation model. It is intended for use with image input (either uploaded or from a URL). The function returns a transparent PNG version of the

   • background_removal_cpu_fn

     Remove the background from an image and return both the transparent version and the original. This function performs background removal using a BiRefNet segmentation model. It is intended for use with image input (either uploaded or from a URL). The function returns a transparent PNG version of the