Removing a Portrait Background with BiRefNet ONNX on CPU
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Removing a Portrait Background with BiRefNet ONNX on CPU Hello, everyone. Background removal is common, but I wanted to see whether a local CPU could preserve thin details such as hair. Today, I ran an official BiRefNet ONNX model with ONNX Runtime and removed the background from a portrait. To give the result first, it produced a transparent PNG while preserving the main subject and most of the hair. Inference with a 1024x1024 input took about 4.32 seconds on average on an Apple M1 Max CPU.…
1Key Takeaways
- Removing a Portrait Background with BiRefNet ONNX on CPU Hello, everyone.
- Background removal is common, but I wanted to see whether a local CPU could preserve thin details such as hair.
- Today, I ran an official BiRefNet ONNX model with ONNX Runtime and removed the background from a portrait.
- To give the result first, it produced a transparent PNG while preserving the main subject and most of the hair.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that removing a Portrait Background with BiRefNet ONNX on CPU Hello, everyone.
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