Update app.py

app.py

@@ -452,7 +452,7 @@ MAX_SEED = np.iinfo(np.int32).max
 
 seq=512
 image_steps=30
-img_accu=10.0
+img_accu=9.0
 
 # ui data
 
@@ -527,8 +527,8 @@ torch.cuda.empty_cache()
 @spaces.GPU(duration=300)
 def upscaler(
     input_image: Image.Image,
-    prompt: str = "Masterpiece, Best Quality, Hyper-Realistic, Super-Realistic.",
-    negative_prompt: str = "Blurry, Shiny, Smooth, Polished, Low Quality, Worst Quality, Normal Quality, Anime Quality, Movies Quality.",
+    prompt: str = "Masterpiece, Best Quality, Hyper-Realistic, Super-Realistic, Natural, Reasonable, Logical.",
+    negative_prompt: str = "Blurry, Distorted, Exceptional, Irregular, Unusual, Shiny, Smoothed, Polished, Low Quality, Worst Quality, Normal Quality, Anime Quality, Movies Quality.",
     seed: int = random.randint(0, MAX_SEED),
     upscale_factor: int = 2,
     controlnet_scale: float = 0.6,
@@ -1319,9 +1319,9 @@ def handle_generation(h,w,d):
             d = re.sub(r"([ \t]){1,}", " ", d)
             d = re.sub(r"(\. \.)", ".", d).lower().strip()
     
-        neg = f"Textual, Text, Blurry, Shiny, Smooth, Polished, Low Quality, Worst Quality, Normal Quality, Anime Quality, Movies Quality."
+        neg = f"Textual, Text, Blurry, Distorted, Exceptional, Irregular, Unusual, Shiny, Smoothed, Polished, Low Quality, Worst Quality, Normal Quality, Anime Quality, Movies Quality."
         q = "\""
-        pos = f'Masterpiece, Best Quality, Hyper-Realistic, Super-Realistic{ d if d == "" else ", " + d }'
+        pos = f'Masterpiece, Best Quality, Hyper-Realistic, Super-Realistic, Natural, Reasonable, Logical, { d if d == "" else ", " + d }'
     
         print(f"""
             Positive: {pos}