Vivien Chappelier commited on
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@@ -34,7 +34,7 @@ print(f"approximate p-value: {p}")
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  This model is an approximate version of [IMATAG](https://www.imatag.com/)'s BZH decoder for the watermark embedded in our [SDXL-turbo watermarking demo](https://huggingface.co/spaces/imatag/stable-signature-bzh).
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  It works on this watermark only and cannot be used to decode other watermarks.
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- It will produce an approximate p-value measuring the risk of mistakenly detecting a watermark an a benign (non-watermarked) image. For an exact p-value and improved robustness, please use the [API](https://huggingface.co/spaces/imatag/stable-signature-bzh/resolve/main/detect_api.py) instead.
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  For more details on this watermarking technique, check out our [announcement](https://www.imatag.com/blog/unlocking-the-future-of-content-authentication-imatags-breakthrough-in-ai-generated-image-watermarking) and our lab's [blog post](https://imatag-lab.medium.com/stable-signature-meets-bzh-53ad0ba13691).
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  This model is an approximate version of [IMATAG](https://www.imatag.com/)'s BZH decoder for the watermark embedded in our [SDXL-turbo watermarking demo](https://huggingface.co/spaces/imatag/stable-signature-bzh).
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  It works on this watermark only and cannot be used to decode other watermarks.
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+ It will produce an approximate p-value measuring the risk of mistakenly detecting a watermark on a benign (non-watermarked) image. For an exact p-value and improved robustness, please use the [API](https://huggingface.co/spaces/imatag/stable-signature-bzh/resolve/main/detect_api.py) instead.
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  For more details on this watermarking technique, check out our [announcement](https://www.imatag.com/blog/unlocking-the-future-of-content-authentication-imatags-breakthrough-in-ai-generated-image-watermarking) and our lab's [blog post](https://imatag-lab.medium.com/stable-signature-meets-bzh-53ad0ba13691).
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