runtime error

Exit code: 1. Reason: ntel/dpt-large). Using a pipeline without specifying a model name and revision in production is not recommended. Some weights of DPTForDepthEstimation were not initialized from the model checkpoint at Intel/dpt-large and are newly initialized: ['neck.fusion_stage.layers.0.residual_layer1.convolution1.bias', 'neck.fusion_stage.layers.0.residual_layer1.convolution1.weight', 'neck.fusion_stage.layers.0.residual_layer1.convolution2.bias', 'neck.fusion_stage.layers.0.residual_layer1.convolution2.weight'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. Cannot initialize model with low cpu memory usage because `accelerate` was not found in the environment. Defaulting to `low_cpu_mem_usage=False`. It is strongly recommended to install `accelerate` for faster and less memory-intense model loading. You can do so with: ``` pip install accelerate ``` . Traceback (most recent call last): File "/home/user/app/app.py", line 32, in <module> controlnet = ControlNetModel.from_pretrained("lllyasviel/control_v11f1p_sd15_depth", torch_dtype=torch.float16).to("cuda") File "/usr/local/lib/python3.10/site-packages/diffusers/models/modeling_utils.py", line 1031, in to return super().to(*args, **kwargs) File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1340, in to return self._apply(convert) File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 900, in _apply module._apply(fn) File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 927, in _apply param_applied = fn(param) File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1326, in convert return t.to( File "/usr/local/lib/python3.10/site-packages/torch/cuda/__init__.py", line 319, in _lazy_init torch._C._cuda_init() RuntimeError: Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx

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