Update README.md


README.md

@@ -34,8 +34,14 @@ The below example uses a prompt similar to *lobster swimming in a fjord* to gene
 This represents a generated Viking warrior on or near a Fjord. The prompt used to generate is **prompt**=*a viking warrior on a fjord*:
 ![viking_on_fjord.jpeg](https://s3.amazonaws.com/moonup/production/uploads/1673019199954-627cebc6cecd686d4cd7411c.jpeg)
 
+### A yellow submarine (inspired by The Beetles)
 
-## Usage
+Here, we see a yellow submarine inspired by the popular Beetles album. The prompt used to generate is **prompt**=a beetles like yellow submarines on a fjord*:
+![Beetles_submarine.jpeg](https://s3.amazonaws.com/moonup/production/uploads/1673019576047-627cebc6cecd686d4cd7411c.jpeg)
+
+## Generating your own predictions
+
+The following Python code will allow you to get up and running quickly, just replace the *prompt* field for your own generation, wait for HuggingFace to compute and you should have your own Stable Diffusion object generated against a backdrop of the fjords. Idyllic!
 
 ```python
 from diffusers import StableDiffusionPipeline
@@ -44,3 +50,9 @@ pipeline = StableDiffusionPipeline.from_pretrained('StatsGary/norweigen-fjords-f
 image = pipeline(prompt='a viking on a fjord').images[0]
 image
 ```
+
+## Supporting article
+
+I have undertaken a blog to explain this: 
+
+- Fjord stable diffusion model: https://hutsons-hacks.info/stable-diffusion-model-for-generating-images-of-fjords