runtime error

Exit code: 1. Reason: ne_utils.py", line 546, in to module.to(device, dtype) ~~~~~~~~~^^^^^^^^^^^^^^^ File "/root/.pyenv/versions/3.13.11/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1432, in to return super().to(*args, **kwargs) ~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/root/.pyenv/versions/3.13.11/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1371, in to return self._apply(convert) ~~~~~~~~~~~^^^^^^^^^ File "/root/.pyenv/versions/3.13.11/lib/python3.13/site-packages/torch/nn/modules/module.py", line 930, in _apply module._apply(fn) ~~~~~~~~~~~~~^^^^ File "/root/.pyenv/versions/3.13.11/lib/python3.13/site-packages/torch/nn/modules/module.py", line 930, in _apply module._apply(fn) ~~~~~~~~~~~~~^^^^ File "/root/.pyenv/versions/3.13.11/lib/python3.13/site-packages/torch/nn/modules/module.py", line 930, in _apply module._apply(fn) ~~~~~~~~~~~~~^^^^ [Previous line repeated 2 more times] File "/root/.pyenv/versions/3.13.11/lib/python3.13/site-packages/torch/nn/modules/module.py", line 957, in _apply param_applied = fn(param) File "/root/.pyenv/versions/3.13.11/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1357, in convert return t.to( ~~~~^ device, ^^^^^^^ dtype if t.is_floating_point() or t.is_complex() else None, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ non_blocking, ^^^^^^^^^^^^^ ) ^ torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 66.69 MiB is free. Process 822673 has 22.23 GiB memory in use. Of the allocated memory 21.79 GiB is allocated by PyTorch, and 196.79 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

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