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Kevin3111/
Electronic_test

diffusers

safetensors

pytorch

unconditional-audio-generation

diffusion-models-class

mit

AudioDiffusionPipeline

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Model Card for Diffusion Models Class 🧨

这个模型是一个旨在生成 electronic 风格音乐的非条件性扩散模型

Usage

python

import torch 
from diffusers import DiffusionPipeline
from IPython.display import Audio


device = "cuda" if torch.cuda.is_available() else "cpu"
print(f"device: {device}")

pipe = DiffusionPipeline.from_pretrained(
    'Kevin3111/Electronic_test'
).to(device)
output = pipe(steps=50)

display(output.images[0])
display(Audio(output.audios[0], rate=pipe.mel.get_sample_rate()))