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--- |
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license: mit |
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tags: |
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- pytorch |
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- diffusers |
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- unconditional-audio-generation |
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- diffusion-models-class |
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--- |
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# Model Card for Unit 4 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) |
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This model is a diffusion model for unconditional audio generation of music in the genre Punk |
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## Usage |
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```python |
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from IPython.display import Audio |
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from diffusers import DiffusionPipeline |
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pipe = DiffusionPipeline.from_pretrained("Skier8402/audio-diffusion-punk") |
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output = pipe() |
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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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## Hardware |
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Trained on an NVIDIA 4090 24 vCPU 125 GB RAM 20GB Storage on Runpod.io. |
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