torch=2.4.1
cuda=cu124
xformers=0.0.28.post1
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 2.25 GiB. GPU 0 has a total capacity of 11.00 GiB of which 0 bytes is free. Of the allocated memory 9.81 GiB is allocated by PyTorch, and 97.56 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)
无论开关低显存模式，都报错，似乎无法在11G显存下使用
torch=2.4.1
cuda=cu124
xformers=0.0.28.post1
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 2.25 GiB. GPU 0 has a total capacity of 11.00 GiB of which 0 bytes is free. Of the allocated memory 9.81 GiB is allocated by PyTorch, and 97.56 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)
无论开关低显存模式，都报错，似乎无法在11G显存下使用