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README.md
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https://huggingface.co/caidas/swin2SR-realworld-sr-x4-64-bsrgan-psnr with ONNX weights to be compatible with Transformers.js.
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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](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).
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https://huggingface.co/caidas/swin2SR-realworld-sr-x4-64-bsrgan-psnr with ONNX weights to be compatible with Transformers.js.
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## Usage (Transformers.js)
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If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@xenova/transformers) using:
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```bash
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npm i @xenova/transformers
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```
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**Example:** Upscale an image with `Xenova/swin2SR-realworld-sr-x4-64-bsrgan-psnr`.
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```js
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import { pipeline } from '@xenova/transformers';
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// Create image-to-image pipeline
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const upscaler = await pipeline('image-to-image', 'Xenova/swin2SR-realworld-sr-x4-64-bsrgan-psnr', {
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// quantized: false, // Uncomment this line to use the quantized version
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});
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// Upscale an image
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const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/butterfly.jpg';
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const output = await upscaler(url);
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// RawImage {
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// data: Uint8Array(3145728) [ ... ],
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// width: 1024,
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// height: 1024,
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// channels: 3
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// }
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// (Optional) Save the upscaled image
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output.save('upscaled.png');
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```
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<details>
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<summary>See example output</summary>
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Input image:
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/eqLyvsErNQvXAFDD2MylF.png)
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Output image:
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/_yYB-1NRfobL2wWMIcy3k.png)
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</details>
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---
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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](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).
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