BiRefNet General 512×512 FP16
This variant is optimized for efficient inference at a fixed 512×512 resolution using FP16 precision. It balances segmentation quality with lower memory usage and faster runtime for production environments.
Ornate Carnival Mask Cutout
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"outputFormat": "PNG",
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"inputs": {
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"taskType": "imageBackgroundRemoval",
"taskUUID": "27952d4a-3d2f-4c27-bf9f-de0454612072",
"imageUUID": "3ec36ba9-7e67-43bf-956b-2804da0f7fee",
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"cost": 0.0006,
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}Ceramic Teapot Product Cutout
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"taskUUID": "215ec04e-418a-49b1-b973-606b256fc4ae",
"imageUUID": "3ee1111d-661a-43ed-9738-300465f96ab5",
"imageURL": "https://im.runware.ai/image/os/a04d20/ws/4/ii/3ee1111d-661a-43ed-9738-300465f96ab5.png",
"cost": 0.0006,
"inputImageUUID": "6ab8f854-5a32-4a7c-b2bc-22a0527d71f6"
}Wildflower Bicycle Basket Cutout
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}{
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"taskUUID": "b3e18b83-e4e2-48fb-b48e-c4f0748fa136",
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"imageURL": "https://im.runware.ai/image/os/a05d22/ws/4/ii/86f36a68-cd11-4b06-b49b-6b3114dc6928.png",
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"inputImageUUID": "13ba2e2e-ef56-49a7-a5f4-bbe0e9e970a0"
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