---
tags:
- hf_diffuse
---

# Dummy diffusion model following architecture of https://github.com/lucidrains/denoising-diffusion-pytorch

Run the model as follows:

```python
from diffusers import UNetModel, GaussianDiffusion
import torch

model = UNetModel.from_pretrained("fusing/ddpm_dummy")

batch_size, num_channels, height, width = 1, 3, 32, 32
dummy_noise = torch.ones((batch_size, num_channels, height, width))
time_step = torch.tensor([10])

image = model(dummy_noise, time_step)
```