Diffusers
Safetensors
PyTorch
AudioDiffusionPipeline
unconditional-audio-generation
diffusion-models-class
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("zwbdla/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][扩散模型课程] 第8章 模型卡片
这个模型是一个旨在生成 [chosen_genre] 风格音乐的非条件性扩散模型
用法
''' from IPython.display import Audio from diffusers import DiffusionPipeline
pipe = DiffusionPipeline.from_pretrained("zwbdla/audio-diffusion-electronic") output = pipe() display(output.images[0]) display(Audio(output.audios[0], rate=pipe.mel.get_sample_rate()))
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