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README.md
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这个模型是一个旨在生成 electronic 风格音乐的非条件性扩散模型
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from diffusers import DDPMPipeline
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from IPython.display import Audio
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display(output.images[0])
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display(Audio(output.audios[0], rate=pipe.mel.get_sample_rate()))
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这个模型是一个旨在生成 electronic 风格音乐的非条件性扩散模型
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## Usage
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```python
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import torch
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from diffusers import DiffusionPipeline
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from IPython.display import Audio
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device = "cuda" if torch.cuda.is_available() else "cpu"
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print(f"device: {device}")
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pipe = DiffusionPipeline.from_pretrained(
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'Kevin3111/Electronic_test'
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).to(device)
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output = pipe(steps=50)
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display(output.images[0])
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display(Audio(output.audios[0], rate=pipe.mel.get_sample_rate()))
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```
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