bug fixed

app.py

@@ -143,16 +143,11 @@ if torch.cuda.is_available():
         print("Model Compiled!")
 
 
-def save_image(img, seed=''):
-    unique_name = f"{str(uuid.uuid4())}_{seed}.png"
-    save_path = os.path.join(f'output/online_demo_img/{datetime.now().date()}')
-    os.umask(0o000)  # file permission: 666; dir permission: 777
-    os.makedirs(save_path, exist_ok=True)
-    unique_name = os.path.join(save_path, unique_name)
+def save_image(img):
+    unique_name = str(uuid.uuid4()) + ".png"
     img.save(unique_name)
     return unique_name
 
-
 def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
@@ -182,8 +177,6 @@ def generate(
 ):
     seed = int(randomize_seed_fn(seed, randomize_seed))
     generator = torch.Generator().manual_seed(seed)
-    print(f"{PORT}: {model_path}")
-    print(prompt)
 
     if schedule == 'DPM-Solver':
         if not isinstance(pipe.scheduler, DPMSolverMultistepScheduler):
@@ -213,10 +206,10 @@ def generate(
         num_images_per_prompt=num_imgs,
         use_resolution_binning=use_resolution_binning,
         output_type="pil",
-        max_sequence_length=args.T5_token_max_length,
+        max_sequence_length=T5_token_max_length,
     ).images
 
-    image_paths = [save_image(img, seed) for img in images]
+    image_paths = [save_image(img) for img in images]
     print(image_paths)
     return image_paths, seed