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    BiRefNet for Microscope Auto Segmentation - v1.0
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    ABOUT THE WORKFLOW

    Isolate and Clean Up a Sample
    Upload a microscope image and the workflow finds the main subject on its own, removes the background, and drops the subject onto a flat color of your choice. It then runs a 4x upscale and a strong sharpen pass, so you get one clean, high-resolution shot of the isolated specimen. No painting, no manual masking.

    Model

    • BiRefNet by Zheng Peng and team. An open-source high-resolution segmentation model that separates a subject from its background with clean edges, even on fine or complex shapes.

    • 4x-UltraSharp. An open-source upscale model that takes the isolated subject up to four times its size while holding detail.

    Description

    Workflows
    SD 1.5

    Details

    Downloads
    2
    Platform
    CivitAI
    Platform Status
    Available
    Created
    6/26/2026
    Updated
    6/26/2026
    Deleted
    -

    Files

    birefnetForMicroscope_v10.json

    Mirrors