File size: 699 Bytes
477dac0 2334742 477dac0 2334742 25390f5 2334742 25390f5 477dac0 25390f5 2334742 25390f5 2334742 477dac0 25390f5 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 |
---
license: mit
tags:
- pytorch
- diffusers
- unconditional-audio-generation
- diffusion-models-class
---
# Model Card for [Diffusion Models Class 🧨](https://github.com/huggingface/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()))
```
|