Update app.py

app.py

@@ -12,7 +12,8 @@ ldm = DiffusionPipeline.from_pretrained("fusing/latent-diffusion-text2im-large")
 generator = torch.manual_seed(42)
     
 def greet(name):
-    prompt = "A squirrel eating a burger"
+    #prompt = "A squirrel eating a burger"
+    prompt = name
     image = ldm([prompt], generator=generator, eta=0.3, guidance_scale=6.0, num_inference_steps=50)
     
     image_processed = image.cpu().permute(0, 2, 3, 1)