README.md

metadata

title: BiRefNet lite Openvino
emoji: 🏢
colorFrom: pink
colorTo: blue
sdk: gradio
sdk_version: 6.13.0
app_file: app.py
pinned: false
license: mit
short_description: BiRefNet lite Background Removal on CPU

Runs ibrhr/BiRefNet-lite-openvino-xeon-w2145 with selectable OpenVINO model variants on CPU.

The Space accepts one uploaded image and returns:

• the predicted foreground mask
• a transparent PNG with the background removed
• processing time broken down by preprocessing, inference, and postprocessing
• runtime specs for the model variant, device, tensor shapes, and image size

The model picker includes all 8 OpenVINO files from the model repo:

Variant	Resolution	Benchmark
INT8 NNCF	1024x1024	1272 ms / 0.79 FPS
INT8 NNCF	512x512	332 ms / 3.01 FPS
FP16	1024x1024	1419 ms / 0.70 FPS
FP16	512x512	366 ms / 2.73 FPS
FP32	1024x1024	1441 ms / 0.69 FPS
FP32	512x512	366 ms / 2.73 FPS
INT8 weight-only	1024x1024	1440 ms / 0.69 FPS
INT8 weight-only	512x512	366 ms / 2.73 FPS

Set MODEL_VARIANT to change the default selection. Valid values are int8_1024x1024, int8_512x512, fp16_1024x1024, fp16_512x512, fp32_1024x1024, fp32_512x512, int8wo_1024x1024, and int8wo_512x512.