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AudioLDMPipeline
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@@ -15,6 +15,19 @@ is a text-to-audio _latent diffusion model (LDM)_ that learns continuous audio r
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  latents. AudioLDM takes a text prompt as input and predicts the corresponding audio. It can generate text-conditional
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  sound effects, human speech and music.
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  ## Model Sources
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  - [**Original Repository**](https://github.com/haoheliu/AudioLDM)
 
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  latents. AudioLDM takes a text prompt as input and predicts the corresponding audio. It can generate text-conditional
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  sound effects, human speech and music.
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+ # Checkpoint Details
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+
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+ This is the original, **small** version of the AudioLDM model, also referred to as **audioldm-s-full**. The four AudioLDM checkpoints are summarised in the table below:
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+ **Table 1:** Summary of the AudioLDM checkpoints.
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+ | Checkpoint | Training Data (h) | Training Steps | Params |
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+ |-----------------------------------------------------------------------|-------------------|----------------|--------|
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+ | [audioldm-s-full](https://huggingface.co/cvssp/audioldm) | 9174 | 1.5M | 421M |
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+ | [audioldm-s-full-v2](https://huggingface.co/cvssp/audioldm-s-full-v2) | 9174 | > 1.5M | 421M |
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+ | [audioldm-m-full](https://huggingface.co/cvssp/audioldm-m-full) | 9174 | 1.5M | 652M |
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+ | [audioldm-l-full](https://huggingface.co/cvssp/audioldm-l-full) | 9174 | 1.5M | 975M |
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  ## Model Sources
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  - [**Original Repository**](https://github.com/haoheliu/AudioLDM)