Update README.md

README.md

@@ -37,3 +37,26 @@
 ├── tests
 │   └── test_modeling_utils.py
 ```
+
+## Dummy Example
+```python
+from diffusers import UNetModel, GaussianDiffusion
+import torch
+
+# 1. Load model
+unet = UNetModel.from_pretrained("fusing/ddpm_dummy")
+
+# 2. Do one denoising step with model
+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 = unet(dummy_noise, time_step)
+
+# 3. Load sampler
+sampler = GaussianDiffusion.from_config("fusing/ddpm_dummy")
+
+# 4. Sample image from sampler passing the model
+image = sampler.sample(model, batch_size=1)
+
+print(image)
+```