Update app.py

app.py

@@ -4,15 +4,10 @@ import random
 from optimum.intel import OVStableDiffusionXLPipeline
 import torch
 
-# Default model ID
 model_id = "None1145/noobai-XL-Vpred-0.65s-openvino"
-pipe = OVStableDiffusionXLPipeline.from_pretrained(model_id)
 
-# Initialize previous dimensions
 prev_height = 1216
 prev_width = 832
-pipe.reshape(batch_size=1, height=prev_height, width=prev_width, num_images_per_prompt=1)
-pipe.compile()
 
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 2048
@@ -21,13 +16,14 @@ def reload_model(new_model_id):
     global pipe, model_id, prev_height, prev_width
     model_id = new_model_id
     try:
-        pipe = OVStableDiffusionXLPipeline.from_pretrained(model_id)
+        pipe = OVStableDiffusionXLPipeline.from_pretrained(model_id, compile = False)
         pipe.reshape(batch_size=1, height=prev_height, width=prev_width, num_images_per_prompt=1)
         pipe.compile()
         return f"Model successfully loaded: {model_id}"
     except Exception as e:
         return f"Failed to load model: {str(e)}"
-
+reload_model(model_id)
+        
 def infer(
     prompt,
     negative_prompt,