Update README.md

README.md

@@ -37,8 +37,8 @@ model_id = "NNNan/UniEM-Gen"
 pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
 pipe = pipe.to("cuda")
 
-# Example prompt
-prompt = "High-resolution electron micrograph of nanoparticles with spherical morphology, high contrast"
+# Example prompt, sampled from UniEM-3M.
+prompt = "SEM of Ceramic Powder: A mix of plate-like and rod-shaped particles. nanostructured. high density. densely packed and agglomerated. Multilayer. Wide range of particle sizes. Grayscale particles on a dark background."
 
 # Generate image
 image = pipe(prompt).images[0]