
## Usage

```python
from diffusers import DDPMPipeline

pipeline = DDPMPipeline.from_pretrained('afshr/normalSamples')
image = pipeline().images[0]
image
```

{"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]}
diffusers pytorch unconditional-image-generation diffusion-models-class license:mit diffusers:DDPMPipeline region:us