27 lines
714 B
Python
27 lines
714 B
Python
import torchaudio
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from audiocraft.models.musicgen import MusicGen
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from audiocraft.data.audio import audio_write
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from prompts import PROMPTS
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MODEL_NAME = "facebook/musicgen-large"
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MUSIC_DURATION_SECONDS = 60
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model = MusicGen.get_pretrained(MODEL_NAME)
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model.set_generation_params(duration=MUSIC_DURATION_SECONDS)
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def generate(offset=0):
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wav = model.generate(PROMPTS)
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for idx, one_wav in enumerate(wav):
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# Will save under {idx}.wav, with loudness normalization at -14 db LUFS.
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audio_write(
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f"{idx + offset}",
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one_wav.cpu(),
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model.sample_rate,
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format="mp3",
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strategy="loudness",
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loudness_compressor=True,
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)
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