Update app.py

app.py

@@ -26,19 +26,19 @@ pipe = pipe.to(device)
 def run(prompt, negative_prompt=None, guidance_scale=7.0, pag_scale=3.0, pag_layers=["mid"], randomize_seed=True, seed=42, progress=gr.Progress(track_tqdm=True)):
     prompt = prompt.strip()
     negative_prompt = negative_prompt.strip() if negative_prompt and negative_prompt.strip() else None
-    print("Initial seed:", seed)
+    print(f"Initial seed for prompt `{prompt}`", seed)
     if(randomize_seed):
         seed = random.randint(0, sys.maxsize)
     
     if not prompt and not negative_prompt:
         guidance_scale = 0.0
-    print("Seed before sending to generator:", seed)
+    print(f"Seed before sending to generator for prompt: `{prompt}`", seed)
     generator = torch.Generator(device="cuda").manual_seed(seed)
     image_pag = pipe(prompt, negative_prompt=negative_prompt, guidance_scale=guidance_scale, pag_scale=pag_scale, pag_applied_layers=pag_layers, generator=generator, num_inference_steps=25).images[0]    
     
     generator = torch.Generator(device="cuda").manual_seed(seed)
     image_normal = pipe(prompt, negative_prompt=negative_prompt, guidance_scale=guidance_scale, generator=generator, num_inference_steps=25).images[0]
-    print("Seed at the end of generation:", seed)
+    print(f"Seed at the end of generation for prompt: `{prompt}`", seed)
     return (image_pag, image_normal), seed
 
 css = '''