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Aaquib Badarpura
wolf-AB
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ai4bharat/IndicF5
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We just released the [BiRefNet_HR](https://huggingface.co/ZhengPeng7/BiRefNet_HR) for general use on higher resolution images, which was trained with images in `2048x2048`. If your images are mostly larger than `1024x1024`, use BiRefNet_HR for better results! Thanks to @Freepik for the kind support of H200s for this huge training. HF Model: https://huggingface.co/ZhengPeng7/BiRefNet_HR. HF Demo: https://huggingface.co/spaces/ZhengPeng7/BiRefNet_demo, where you need to choose General-HR and set high resolution. PyTorch weights & ONNX: in Google Drive and the GitHub release. Here is a comparison between the results of the original one and the new HR one on HR inputs: And, the performance of this new HR one and the previous one trained in `1024x1024` on val set:
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liked
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2 months ago
ai4bharat/IndicF5
Text-to-Speech
โข
0.4B
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Updated
Oct 6
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