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AlvaroPang
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audio-diffusion-electronic

Diffusers
Safetensors
PyTorch
AudioDiffusionPipeline
unconditional-audio-generation
diffusion-models-class
Model card Files
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How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("AlvaroPang/audio-diffusion-electronic", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

这个扩散模型是用来生成风格音乐的非条件扩散模型

用法 

from IPython.display import Audio
from diffusers import DiffusionPipeline

pipe = DiffusionPipeline.from_pretrained("AlvaroPang/audio-diffusion-electronic")
output = pipe()
display(output.images[0])
display(Audio(output.audios[0], rate=pipe.mel.get_sample_rate()))
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