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                                            James

Windows XP support

I will need more details: 1. What exactly is your folder set up/hierarchy? 2. What is the host program? A desktop app? A website? 3. How are you running the...

Support for .Net Core 2.0

I just ran into the exact same error. So sad, was really hoping this would work. :*(

Suggestion: Add --height and --width for generating images in different pixel sizes

I am looking for this also. :/

OCR?

TypeScript IS JavaScript with types added. It’s designed by the same creator as Delphi, who now works of MS, and is the main language behind Google’s Angular. It IS JavaScript...

OCR?

Not sure if it helps, but I came across this once and was thinking of checking it out: http://www.pixel-technology.com/freeware/tessnet2/ It uses Tesseract, a C++ open source OCR engine. No idea...

OCR?

I was only referring to Tesseract, as it is C++, and I’m aware Actiona is also. ;)

help ! RuntimeError: CUDA out of memory. Tried to allocate 1.50 GiB (GPU 0; 10.92 GiB total capacity; 8.62 GiB already allocated; 1.39 GiB free; 8.81 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF

I have the same issue on Windows 10: > `RuntimeError: CUDA out of memory. Tried to allocate 1.50 GiB (GPU 0; 8.00 GiB total capacity; 5.62 GiB already allocated; 0...

help ! RuntimeError: CUDA out of memory. Tried to allocate 1.50 GiB (GPU 0; 10.92 GiB total capacity; 8.62 GiB already allocated; 1.39 GiB free; 8.81 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF

Seems this post did help to reduce the total reserved size of Pytorch: https://github.com/CompVis/stable-diffusion/issues/86#issuecomment-1230309710 I think Windows is allocating some for itself (tried closing all apps and still over 3gb...

help ! RuntimeError: CUDA out of memory. Tried to allocate 1.50 GiB (GPU 0; 10.92 GiB total capacity; 8.62 GiB already allocated; 1.39 GiB free; 8.81 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF

PyTorch is still taking a lot of memory, and it seems a lot of other GPU memory is taken up by something else while the command runs because the resource...

help ! RuntimeError: CUDA out of memory. Tried to allocate 1.50 GiB (GPU 0; 10.92 GiB total capacity; 8.62 GiB already allocated; 1.39 GiB free; 8.81 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF

@dyanechi that worked for me. Needed to add `--n_samples 1` (follow https://github.com/CompVis/stable-diffusion/issues/86#issuecomment-1236122289), but now I don't need to scale down, thanks.