[Marco Wolf]

Ram overflow.

With colab, the ram is not taught after an image is created. You get an overflow. Does anyone know how to prevent this? Is with the Jupiter from this portal

[Andrew]

Hi! The A1111 software has some memory leak. The notebook just launches so there’s little I can do.

The newer version has just come out. I will update the notebook after it stabilizes. You can see if it works better.

[Nicolas Lüthy]

Hi 🙂

I currently use 2 lora models and hires.fix and get this error message:

OutOfMemoryError: CUDA out of memory. Tried to allocate 11.52 GiB. GPU 0 has a total capacity of 14.75 GiB of which 11.28 GiB is free. Process 403699 has 3.47 GiB memory in use. Of the allocated memory 2.41 GiB is allocated by PyTorch, and 908.57 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)

Any idea how I can get pass this? I have a paid collab account and should have enough computing power, or do I oversee something?

[Andrew]

Hi! I updated the notebook today (3/21). Give it a try.

[Author]

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