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Hi,
thanks for this great repo. I was trying to run with a small video (attached) on an nVidia GPU with 24 GB VRAM but ran into CUDA memory issues:
Running configs/prompts/SampleConfig.yaml ...
/home/me/environments/ca/lib/python3.10/site-packages/torchvision/transforms/functional_tensor.py:5: UserWarning: The torchvision.transforms.functional_tensor module is deprecated in 0.15 and will be **removed in 0.17**. Please don't rely on it. You probably just need to use APIs in torchvision.transforms.functional or in torchvision.transforms.v2.functional.
warnings.warn(
20240109_022113_013548
Frames to be processed: 15.0
Option to (record or transcode stop time) cannot be applied to input url /home/me/bean.mp4 -- you are trying to apply an input option to an output file or vice versa. Move this option before the file it belongs to.
Error parsing options for input file /home/me/bean.mp4.
Error opening input files: Invalid argument
loaded temporal unet's pretrained weights from models/StableDiffusion/stable-diffusion-v1-5/unet ...
### missing keys: 668;
### unexpected keys: 0;
### Temporal Module Parameters: 1312 -> 453.20928 M
Traceback (most recent call last):
...
File "/home/me/environments/ca/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1143, in convert
return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
RuntimeError: CUDA error: out of memory
I have attached my YAML file (as a .txt as Github doesn't support YAML uploads)
Hi,
thanks for this great repo. I was trying to run with a small video (attached) on an nVidia GPU with 24 GB VRAM but ran into CUDA memory issues:
I have attached my YAML file (as a .txt as Github doesn't support YAML uploads)
Any ideas what could be causing this?
bean.mp4
SampleConfig.txt