runtime error

the `torch_dtype=torch.float16` argument, or use another device for inference. Traceback (most recent call last): File "/home/user/app/app.py", line 22, in <module> UPSCALER.enable_xformers_memory_efficient_attention() File "/home/user/.local/lib/python3.10/site-packages/diffusers/pipelines/pipeline_utils.py", line 1897, in enable_xformers_memory_efficient_attention self.set_use_memory_efficient_attention_xformers(True, attention_op) File "/home/user/.local/lib/python3.10/site-packages/diffusers/pipelines/pipeline_utils.py", line 1923, in set_use_memory_efficient_attention_xformers fn_recursive_set_mem_eff(module) File "/home/user/.local/lib/python3.10/site-packages/diffusers/pipelines/pipeline_utils.py", line 1913, in fn_recursive_set_mem_eff module.set_use_memory_efficient_attention_xformers(valid, attention_op) File "/home/user/.local/lib/python3.10/site-packages/diffusers/models/modeling_utils.py", line 254, in set_use_memory_efficient_attention_xformers fn_recursive_set_mem_eff(module) File "/home/user/.local/lib/python3.10/site-packages/diffusers/models/modeling_utils.py", line 250, in fn_recursive_set_mem_eff fn_recursive_set_mem_eff(child) File "/home/user/.local/lib/python3.10/site-packages/diffusers/models/modeling_utils.py", line 250, in fn_recursive_set_mem_eff fn_recursive_set_mem_eff(child) File "/home/user/.local/lib/python3.10/site-packages/diffusers/models/modeling_utils.py", line 250, in fn_recursive_set_mem_eff fn_recursive_set_mem_eff(child) File "/home/user/.local/lib/python3.10/site-packages/diffusers/models/modeling_utils.py", line 247, in fn_recursive_set_mem_eff module.set_use_memory_efficient_attention_xformers(valid, attention_op) File "/home/user/.local/lib/python3.10/site-packages/diffusers/models/attention_processor.py", line 209, in set_use_memory_efficient_attention_xformers raise ValueError( ValueError: torch.cuda.is_available() should be True but is False. xformers' memory efficient attention is only available for GPU

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