Update app.py

app.py

@@ -30,6 +30,19 @@ MAX_IMAGE_SIZE = 2048
 # Load Qwen/Qwen-Image pipeline
 dtype = torch.bfloat16
 device = "cuda" if torch.cuda.is_available() else "cpu"
+# ---- CUDA Check ----
+print("CUDA_VISIBLE_DEVICES=", os.environ.get("CUDA_VISIBLE_DEVICES"))
+print("torch.__version__ =", torch.__version__)
+print("torch.version.cuda =", torch.version.cuda)
+print("cuda available:", torch.cuda.is_available())
+print("cuda device count:", torch.cuda.device_count())
+if torch.cuda.is_available():
+    print("current device:", torch.cuda.current_device())
+    print("device name:", torch.cuda.get_device_name(torch.cuda.current_device()))
+
+print("Using device:", device)
+
+# --- Model Loading ---
 pipe_qwen = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image", torch_dtype=dtype).to(device)
 
 # Aspect ratios