BiRefNet lite β 512px, WebGPU-friendly ONNX
Background removal model used in the Dayfolie carousel editor (runs fully in the browser with onnxruntime-web 1.30, WebGPU or WASM).
- Source weights: ZhengPeng7/BiRefNet_lite (MIT)
- Re-exported at 512Γ512 input, fp16 weights with float32 input/output.
- Large Concat/Split ops were split into smaller ones and ReduceSum replaced with Add so the graph runs on WebGPU.
- Input:
input_imagefloat32 [1,3,512,512] (ImageNet mean/std). Output: mask logits [1,1,512,512].
Original work: Zheng Peng et al., Bilateral Reference for High-Resolution Dichotomous Image Segmentation (CAAI AIR 2024). MIT License, Β© ZhengPeng7.
Model tree for dayfolie/birefnet-lite-512-webgpu
Base model
ZhengPeng7/BiRefNet_lite