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Xenova / face-parsing
Model's Last Updated: August 19 2025
image-segmentation
Introduction of face-parsing
Model Details of face-parsing
https://huggingface.co/jonathandinu/face-parsing with ONNX weights to be compatible with Transformers.js.
Usage (Transformers.js)
If you haven't already, you can install the Transformers.js JavaScript library from NPM using:
npm i @xenova/transformers
Example:
Face segmentation with
Xenova/face-parsing
.
import { pipeline } from '@xenova/transformers';
const segmenter = await pipeline('image-segmentation', 'Xenova/face-parsing');
const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/portrait-of-woman.jpg';
const output = await segmenter(url);
console.log(output)
// [
// {
// score: null,
// label: 'background',
// mask: RawImage { ... }
// },
// {
// score: null,
// label: 'skin.png',
// mask: RawImage { ... }
// },
// ...
// }
// ]
You can visualize the outputs with:
for (const l of output) {
l.mask.save(`${l.label}.png`);
}
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using
🤗 Optimum
and structuring your repo like this one (with ONNX weights located in a subfolder named
onnx
).
Runs of Xenova face-parsing on huggingface.co
2.7K
Total runs
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24-hour runs
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3-day runs
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7-day runs
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30-day runs
More Information About face-parsing huggingface.co Model
Url of face-parsing
face-parsing huggingface.co Url
Provider of face-parsing huggingface.co
Other API from Xenova
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