Comments (3)
I was wondering if it would be successful to train on resolution like 512x256 for stereoscopic videos?
from text-to-video-finetuning.
@adhikjoshi Yes you can do both, albeit it gets computationally heavy as you get closer to 512x512.
Typically in my tests, 384x256 for widescreen seems to work well for both training and inference seem to work well. For training, it's a must to keep the frames low (< 4) or else it won't fit into memory.
There may be some duplication problems as the model was trained on videos at a 1:1 ratio to the best of my knowledge.
from text-to-video-finetuning.
check width and height in the example yamls in the config folder
from text-to-video-finetuning.
Related Issues (20)
- webui Lora Might be causing errors in checkpoint models. HOT 3
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from text-to-video-finetuning.