Update app.py

app.py

@@ -22,7 +22,7 @@ pipe.fuse_lora()
 MAX_SEED = 2**32-1
 
 @spaces.GPU(duration=75)
-def generate_image(prompt, steps=28, seed=None, cfg_scale=2.8, width=1024, height=1024, lora_scale=0.5):
+def generate_image(prompt, steps=28, seed=None, cfg_scale=3.5, width=1024, height=1024, lora_scale=0.5):
     if seed is None:
         seed = random.randint(0, MAX_SEED)
     generator = torch.Generator(device="cuda").manual_seed(seed)
@@ -38,10 +38,10 @@ def generate_image(prompt, steps=28, seed=None, cfg_scale=2.8, width=1024, heigh
     ).images[0]
     return image
 
-def run_lora(prompt, cfg_scale=2.8, steps=28, randomize_seed=True, seed=None, width=1024, height=1024, lora_scale=0.5):
+def run_lora(prompt, cfg_scale=3.5, steps=28, randomize_seed=True, seed=None, width=1024, height=1024, lora_scale=0.5):
     # Handle the case when only prompt is provided (for Examples)
     if isinstance(prompt, str) and all(param is None for param in [cfg_scale, steps, randomize_seed, seed, width, height, lora_scale]):
-        cfg_scale = 2.8
+        cfg_scale = 3.5
         steps = 28
         randomize_seed = True
         seed = None