How it works
Complete the job in three clear steps
- Choose a JPG, PNG, WebP, or BMP image from this device.
- Run the lightweight U2-Net foreground model locally in your browser.
- Review the edges and download the generated PNG.
Private on-device image AI
Generate a grayscale U2-Net foreground mask for compositing, editing, and segmentation review.
Loading tool workspace…
How it works
Important
Keep an untouched copy of important source files. Browser processing depends on available device memory, and you should inspect every downloaded result before deleting the original.
Practical details
Generate a grayscale U2-Net foreground mask for compositing, editing, and segmentation review.
White represents predicted foreground and black represents background. Gray edge pixels are partial confidence, not a manually verified selection.
The lightweight general-object model is self-hosted and cached by the browser. Its first run downloads roughly 4.6 MB; later runs can reuse the local cache.
Questions
No. The browser downloads Lucaden's self-hosted U2-Net model, then runs inference against the image locally with ONNX Runtime Web.
White represents predicted foreground and black represents background. Gray edge pixels are partial confidence, not a manually verified selection.
Open-source foundations
Lucaden documents its standards sources, architectural references, and permissive runtime dependencies while keeping this workspace consistent with the Lucaden interface.