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一分钟完成验证Unmark — on-device AI watermark eraser. MI-GAN inpainting in the browser via onnxruntime-web; images never leave your device.
翻译准备中
取自仓库 README
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查看完整 README ↗A minimal, on-device watermark eraser. Drop an image, brush over the mark (or tap ✦ corner for the standard AI-watermark position), hit erase — the region is reconstructed by a generative inpainting model running entirely in your browser. Nothing is ever uploaded.
migan_pipeline_v2.onnx, ~27 MB), a lightweight generative inpainting
network. Self-hosted from public/models/ and cached by the browser after
the first visit.next.config.ts to enable
threads). Runtime binaries are vendored into public/ort/ by
scripts/copy-ort.mjs on npm install.src/lib/inpaint.ts feeds the model raw uint8 tensors
(image [1,3,H,W] RGB + mask [1,1,H,W], where mask 0 marks the hole)
on a ~512 px crop centered on the mask, then composites only the masked
pixels back into the original — full-resolution context, no global resampling.[ ] brush
size, ⌘Z undo, hold C to compare.npm install # also copies onnxruntime wasm files into public/ort/
npm run dev
npm run build && npm run start for a production build. Deploys to Vercel
with zero configuration; there is no server-side compute — the entire
pipeline is static assets plus client inference.
Intended for images you have the rights to — e.g. cleaning the visible sparkle from AI images you generated. It does not (and will not) touch invisible provenance watermarks such as SynthID. Don't point it at other people's copyrighted work.