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license: openrail |
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# Al-Nay (ุงููุงู) Unconditional Diffusion |
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Al-Nay is one of the oldest instruments used to this date. |
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With its roots in ancient Egypt nearly 5,000 years ago, it has become a staple in Arabic and Persian music. |
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While the number of Nayzens โ the name associated with skilled players of the instrument โ has diminished over time, our Unconditional Diffusion model ensures that number is never zero. |
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This project could not have been done without [the following audio diffusion tools.](https://github.com/teticio/audio-diffusion) |
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## Usage |
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Usage of this model is no different from any other audio diffusion model from HuggingFace. |
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```python |
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import torch |
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from diffusers import DiffusionPipeline |
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# Setup device and create generator |
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device = "cuda" if torch.cuda.is_available() else "cpu" |
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generator = torch.Generator(device=device) |
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# Instantiate model |
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model_id = "mijwiz-laboratories/al_nay_diffusion_unconditional_256" |
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audio_diffusion = DiffusionPipeline.from_pretrained(model_id).to(device) |
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# Set seed for generator |
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seed = generator.seed() |
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generator.manual_seed(seed) |
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# Run inference |
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output = audio_diffusion(generator=generator) |
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image = output.images[0] # Mel spectrogram generated |
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audio = output.audios[0, 0] # Playable audio file |
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``` |
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## Limitations of Model |
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The dataset used was very small, so the diversity of snippets that can be generated is rather limited. Furthermore, with high intensity segments (think a human playing the instrument with high intensity,) |
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the realism/naturalness of the generated flute degrades. |
