Virtual Tryon (VTON) - Install & Tutorial

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  • Опубліковано 4 лис 2024

КОМЕНТАРІ • 3

  • @yeti-subzero
    @yeti-subzero Місяць тому

    thanks for the installer file. but after submitting the request there is an error: CUDA out of memory. Tried to allocate 18.00 GiB. GPU 0 has a total capacity of 8.00 GiB of which 3.08 GiB is free. Of the allocated memory 3.64 GiB is allocated by PyTorch, and 322.61 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

    • @cognibuild
      @cognibuild  Місяць тому

      @@yeti-subzero the unfortunately likely means your GPU is not strong enough. How much vram do you have?

    • @yeti-subzero
      @yeti-subzero Місяць тому

      @@cognibuild 8GB