Update app_t2v.py

app_t2v.py

@@ -8,7 +8,10 @@ import uuid
 
 # Load model once at startup
 dtype = torch.bfloat16
-device = "cuda:0"  # Change as needed
+# Instantiate the pipeline in the global scope
+print("Initializing WanTI2V pipeline...")
+device = "cuda" if torch.cuda.is_available() else "cpu"
+device_id = 0 if torch.cuda.is_available() else -1
 
 vae = AutoencoderKLWan.from_pretrained(
     "Wan-AI/Wan2.2-T2V-A14B-Diffusers", subfolder="vae", torch_dtype=torch.float32