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@@ -68,4 +68,19 @@ prompt = "Rolling thunder with lightning strikes"
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  output = pipeline(prompt=prompt, num_inference_steps=100, guidance_scale=7.5)
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  audio = output.audios[0]
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  IPython.display.Audio(data=audio, rate=16000)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
 
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  output = pipeline(prompt=prompt, num_inference_steps=100, guidance_scale=7.5)
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  audio = output.audios[0]
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  IPython.display.Audio(data=audio, rate=16000)
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+ ```
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+
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+
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+ ## Citation
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+
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+ Please consider citing the following article if you found our work useful:
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+
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+ ```bibtex
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+ @article{xue2024auffusion,
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+ title={Auffusion: Leveraging the Power of Diffusion and Large Language Models for Text-to-Audio Generation},
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+ author={Jinlong Xue and Yayue Deng and Yingming Gao and Ya Li},
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+ journal={arXiv preprint arXiv:2401.01044},
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+ year={2024}
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+ }
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+ ```
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  ```