Cheap motel catch

[greylockride]

Old building so this was actually through the air conditioner. Sound travelled up into my room very clearly.

8July motel.m4a

[Splinteredruler]

Where was the motel?

[greylockride]

Econo Lodge Metro Falls Church VA just outside DC

[Stott13]

Appreciate the American capture! Thanks, Greylockride.

[Mark38enam]

Brilliant capture! At 01:00 "You gona cum on my face? I want it on my face." 🗯

[HolyRoller478]

Econo Lodge Metro Falls Church VA just outside DC

That's why we can never get in touch with our congressman in DC! lol I'm kidding. It's probably just some random tourists. Congressmen wouldn't be *that* cheap for a hotel. They'd want something fancy I'm sure.

[Longtermlurker]

Brilliant capture! At 01:00 "You gona cum on my face? I want it on my face." 🗯

Fantastic stuff. I'm sure she says something like " you wanna taste it?" later on.

[reggind]

it blew uo


torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 0 has a total capacity of 23.56 GiB of which 4.19 MiB is free. Process 35180 has 256.00 MiB memory in use. Including non-PyTorch memory, this process has 23.29 GiB memory in use. Of the allocated memory 23.04 GiB is allocated by PyTorch, and 720.00 KiB 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/c ... -variables)
(LTX-Video) matthew@matthew:~/AI/LTX-Video$

[yeppie]

it blew uo


torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 0 has a total capacity of 23.56 GiB of which 4.19 MiB is free. Process 35180 has 256.00 MiB memory in use. Including non-PyTorch memory, this process has 23.29 GiB memory in use. Of the allocated memory 23.04 GiB is allocated by PyTorch, and 720.00 KiB 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/c ... -variables)
(LTX-Video) matthew@matthew:~/AI/LTX-Video$

What the heck did you want to tell us Reg?

[cruzsilva]

it blew uo


torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 0 has a total capacity of 23.56 GiB of which 4.19 MiB is free. Process 35180 has 256.00 MiB memory in use. Including non-PyTorch memory, this process has 23.29 GiB memory in use. Of the allocated memory 23.04 GiB is allocated by PyTorch, and 720.00 KiB 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/c ... -variables)
(LTX-Video) matthew@matthew:~/AI/LTX-Video$

What the heck did you want to tell us Reg?

[reggind]

Oops, wrong window!! So I guess it was a round about way of saying I an be kind of ditzy at times.