Practical solutions to solve the problem of insufficient video memory
Insufficient video memory is a common problem when using FantasyTalking to generate high quality videos. Here is a step-by-step solution:
- Reduce the output parameters:commander-in-chief (military)
--image_sizedown from the default 720P to 512×512, while reducing the--max_num_framesParameters control the number of frames - Enable VRAM optimization:Add to the run command
--low_vramparameter (if supported by the project), or install theflash_attnAccelerated library:pip install flash_attn - Hardware program:Recommended to use RTX3090 (24GB) and above graphics card, multi-GPU environment can try distributed computing
- Cloud Services Alternative:Use of high end GPU resources such as A100 through platforms such as Google Colab Pro
Actual tests show that generating 30 seconds of 720P video requires about 20GB of video memory, which can be reduced to about 12GB after parameter adjustment.
This answer comes from the articleFantasyTalking: an open-source tool for generating realistic speaking portraitsThe
May not be reproduced without permission:AI productivity tools " How to solve the problem of insufficient video memory when generating videos with FantasyTalking?
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