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README.md
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license: mit
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library_name: transformers
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pipeline_tag: text-to-audio
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license: mit
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library_name: transformers
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pipeline_tag: text-to-audio
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---
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# 🎵🎵🎵AudioLCM:Text-to-Audio Generation with Latent Consistency Models
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We develop **AudioLCM** building on LCM (latent consistency models) for text-to-audio generation.
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## code
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Our code is released here : [https://github.com/liuhuadai/AudioLCM)](https://github.com/liuhuadai/AudioLCM)
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Please follow the instructions in the repository for installation, usage and experiments.
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## Quickstart Guide
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Download the **AudioLCM** model and generate audio from a text prompt:
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```python
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import IPython
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import soundfile as sf
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from infer import AudioLCMInfer
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prompt="Constant rattling noise and sharp vibrations"
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config_path="./audiolcm.yaml"
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model_path="./audiolcm.ckpt"
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vocoder_path="./model/vocoder"
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audio_path = AudioLCMInfer(prompt, config_path=config_path, model_path=model_path, vocoder_path=vocoder_path)
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```
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Use the `AudioLCMBatchInfer` function to generate multiple audio samples for a batch of text prompts:
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```python
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import IPython
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import soundfile as sf
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from infer import AudioLCMBatchInfer
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prompts=[
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"Constant rattling noise and sharp vibrations",
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"A rocket flies by followed by a loud explosion and fire crackling as a truck engine runs idle",
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"Humming and vibrating with a man and children speaking and laughing"
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]
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config_path="./audiolcm.yaml"
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model_path="./audiolcm.ckpt"
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vocoder_path="./model/vocoder"
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audio_path = AudioLCMBatchInfer(prompts, config_path=config_path, model_path=model_path, vocoder_path=vocoder_path)
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```
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