Update app.py

app.py

@@ -3,14 +3,14 @@ import numpy as np
 import random
 import spaces
 import torch
-from diffusers import  DiffusionPipeline
+from diffusers import  QwenImagePipeline
 
 dtype = torch.bfloat16
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
 
 # Load the model pipeline
-pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image", torch_dtype=dtype).to(device)
+pipe = QwenImagePipeline.from_pretrained("Qwen/Qwen-Image", torch_dtype=dtype).to(device)
 
 torch.cuda.empty_cache()