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--- |
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license: bigscience-openrail-m |
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datasets: |
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- thelou1s/AudioSet |
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- Chr0my/freesound.org |
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language: |
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- en |
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library_name: diffusers |
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tags: |
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- music |
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- art |
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--- |
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# Model Card for Model ID |
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Generate any audio from text using your imagination |
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# Model Details |
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## Model Description |
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- **Developed by:** Haohe Liu |
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- **License:** CC-BY-NC-SA 4.0 |
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## Model Sources |
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- **Repository:** https://github.com/haoheliu/AudioLDM |
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- **Paper:** https://arxiv.org/abs/2301.12503 |
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- **Demo:** https://audioldm.github.io/ |
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## Direct Use |
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https://huggingface.co/spaces/haoheliu/audioldm-text-to-audio-generation |
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# Bias, Risks, and Limitations |
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TODO |
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# Training Details |
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## Training Data |
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TODO |
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# Evaluation |
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TODO |
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## Testing Data, Factors & Metrics |
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### Testing Data |
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TODO |
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### Metrics |
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TODO |
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## Results |
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TODO |
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**BibTeX:** |
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```bibtex |
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@article{liu2023audioldm, |
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title={AudioLDM: Text-to-Audio Generation with Latent Diffusion Models}, |
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author={Liu, Haohe and Chen, Zehua and Yuan, Yi and Mei, Xinhao and Liu, Xubo and Mandic, Danilo and Wang, Wenwu and Plumbley, Mark D}, |
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journal={arXiv preprint arXiv:2301.12503}, |
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year={2023} |
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} |
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``` |
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