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--- |
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library_name: diffusers |
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tags: |
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- music |
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--- |
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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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!git lfs install |
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!git clone https://huggingface.co/jadechoghari/openmusic |
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``` |
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Manually change the folder name from `openmusic` to `qa_mdt` |
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```bash |
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pip install -r qa_mdt/requirements.txt |
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pip install xformers==0.0.26.post1 |
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pip install torchlibrosa==0.0.9 librosa==0.9.2 |
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pip install -q pytorch_lightning==2.1.3 torchlibrosa==0.0.9 librosa==0.9.2 ftfy==6.1.1 braceexpand |
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pip install torch==2.3.0+cu121 torchvision==0.18.0+cu121 torchaudio==2.3.0 --index-url https://download.pytorch.org/whl/cu121 |
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``` |
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```python |
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from qa_mdt.pipeline import MOSDiffusionPipeline |
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pipe = MOSDiffusionPipeline() |
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pipe("A modern synthesizer creating futuristic soundscapes.") |
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``` |
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# Enjoy the music!! 🎶 |
