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# Hugging Face Diffusers Implementation of QA-MDT
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QADMT brings a new approach to text-to-music generation by using quality-aware training to tackle issues like low-fidelity audio and weak labeling in datasets.
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With a masked diffusion transformer (MDT), QADMT delivers SOTA results on MusicCaps and Song-Describer, enhancing both quality and musicality.
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## Usage:
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```bash
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# Official Hugging Face Diffusers Implementation of QA-MDT
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**QAMDT: Quality-Aware Diffusion for Text-to-Music 🎶**
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QADMT brings a new approach to text-to-music generation by using quality-aware training to tackle issues like low-fidelity audio and weak labeling in datasets.
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With a masked diffusion transformer (MDT), QADMT delivers SOTA results on MusicCaps and Song-Describer, enhancing both quality and musicality.
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Here’s the revised version with "et al.":
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It follows from [this paper](https://arxiv.org/pdf/2405.15863) by the University of Science and Technology of China, authored by [@changli](https://github.com/ivcylc) *et al.*.
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## Usage:
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```bash
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