A self-controlled mirror of the IS-Net general-use ONNX model, hosted to provide a stable source for the High-Quality background-removal path in ClearCut — a zero-backend, fully client-side AI background remover that runs this model in the browser via onnxruntime-web (WASM).

The fp32 weights are redistributed unchanged under their original Apache-2.0 license. The -q8 file is a uint8 dynamic-quantization of those same weights, produced for faster, lighter in-browser CPU (WASM) inference.

Input input (1×3×1024×1024, normalized (pixel − 128) / 256); output output (saliency 0..1). Both files keep fp32 input/output tensors, so they are interchangeable at the application boundary.

Apache-2.0 — same as the upstream model and ONNX export. The quantized -q8 file is a derived redistribution of the same Apache-2.0 weights. See the original repositories above for the full license text and citation.