Update app.py

app.py

@@ -12,7 +12,7 @@ tokenizer = AutoTokenizer.from_pretrained("nlpconnect/vit-gpt2-image-captioning"
 
 pipe = DiffusionPipeline.from_pretrained("damo-vilab/text-to-video-ms-1.7b", torch_dtype=torch.float16, variant="fp16")
 pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
-pipe.enable_model_cpu_offload()
+
 
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 model.to(device)