Generating a Music Piece with a Twist
I'd like to share a compact code snippet that uses a generative AI to create a unique music piece. This code utilizes the Jukedeck Music API, which was recently acquired by Meta AI.
import torch
from transformers import WaveFlowModel, WaveFlowTokenizer
# Load the pre-trained model and tokenizer
model = WaveFlowModel.from_pretrained('meta-waveflow-large')
tokenizer = WaveFlowTokenizer.from_pretrained('meta-waveflow-large')
# Define the input parameters for the generated music piece
input_seed = torch.randn(1, 2) # seed vector
temperature = 0.25 # temperature control
length = 10 # length of the generated music piece
# Generate the music piece
generated_music = model.generate(input_seed, temperature, length)
This code snippet generates a 10-second music piece using a random seed vector and a temperature control parameter. The WaveFlowModel and WaveFlowTokenizer are pre-trained models from the Meta AI library, which are capable of generating high-quality music. The generated music piece is a unique combination of notes and rhythms, showcasing the capabilities of generative AI in the field of music composition.
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