Test3

app.py

@@ -16,7 +16,8 @@ import torch
 
 model_name = "Qwen/Qwen-Image"
 
-
+pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
+pipe.to('cuda')
 
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1440
@@ -48,15 +49,7 @@ def infer_diffusers(
     num_inference_steps=50,
     progress=gr.Progress(track_tqdm=True),
 ):
-
-    if torch.cuda.is_available():
-        torch_dtype = torch.bfloat16
-        device = "cuda"
-    else:
-        torch_dtype = torch.float32
-        device = "cpu"
-    
-    pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
+  
 
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)