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Requirements? #7

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Natotela opened this issue Aug 21, 2023 · 5 comments
Open

Requirements? #7

Natotela opened this issue Aug 21, 2023 · 5 comments

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@Natotela
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This looks so promising, I just don't wanna promise myself something I won't be able to afford :-}

@drimeF0
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drimeF0 commented Sep 6, 2023

like regular stable diffusion

@Natotela

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@Natotela

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@Natotela Natotela changed the title While my eyes are drooling, brain's asking - how much VRAM would it take? Any extended instructions for installing? Sep 6, 2023
@Natotela Natotela changed the title Any extended instructions for installing? Requirements? Sep 7, 2023
@Natotela
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Natotela commented Sep 7, 2023

after creating conda env, also had to

pip install opencv-python diffusers transformers
conda install av -c conda-forge

and possibly pip install accelerate as well

@szriru
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szriru commented Sep 10, 2023

nah, I think this needs freaking big VRAM.
I tried a video which is 1024x576, 30fps, 100frames, and it said it needs 50GB VRAM lmao

torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 13.73 GiB (GPU 0; 23.99 GiB total capacity; 22.73 GiB already allocated; 0 bytes free; 27.96 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

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