added python snippet

README.md

@@ -10,3 +10,15 @@ inference: true
 Readers of the Wall Street Journal (WSJ) are familiar with the distinctive style used to create portaits of their writers and subjects. This is a fine-tuned stable
 diffusion model that can be used to create hedcut-styled images using the prompt **_wsj hedcut of \<subject\>_**. This model can also be used in a DreamBooth environment
 to train a face or other subject for custom and unique hedcuts.
+
+```python
+#!pip install diffusers transformers scipy torch
+from diffusers import StableDiffusionPipeline
+import torch
+model_id = "dmillar/wsj-hedcut-v1"
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+pipe = pipe.to("cuda")
+prompt = "wsj hedcut of a woman"
+image = pipe(prompt).images[0]
+image.save("./woman_hedcut.png")
+```