When running inference I encounter torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 191.91 GiB, so I would like to ask whether ReCamMaster only supports a fixed resolution (832×480) and fixed video length (81 frames), whether such a large GPU memory requirement is expected, or if I might be using the inference script incorrectly.
When running inference I encounter torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 191.91 GiB, so I would like to ask whether ReCamMaster only supports a fixed resolution (832×480) and fixed video length (81 frames), whether such a large GPU memory requirement is expected, or if I might be using the inference script incorrectly.