Added bold to the examples

README.md

@@ -16,13 +16,18 @@ inference: true
 
 These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning. You can find some example images in the following. 
 
-prompt: contemporary living room of a house
-negative prompt: low quality
+**prompt**: contemporary living room of a house
+
+**negative prompt**: low quality
 ![images_0)](./images_0.png)
-prompt: new york buildings,  Vincent Van Gogh starry night 
-negative prompt: low quality, monochrome
+
+**prompt**: new york buildings,  Vincent Van Gogh starry night 
+
+**negative prompt**: low quality, monochrome
 ![images_1)](./images_1.png)
-prompt: contemporary living room,  high quality, 4k, realistic
-negative prompt: low quality, monochrome, low res
+
+**prompt**: contemporary living room,  high quality, 4k, realistic
+
+**negative prompt**: low quality, monochrome, low res
 ![images_2)](./images_2.png)