Practical solutions to solve the problem of insufficient GPU video memory
When using AnimeGamer to generate anime videos, if you encounter slow speed due to insufficient GPU video memory, you can solve the problem by the following methods:
- Hardware Optimization Solution: Prioritize upgrading your graphics card to a device with more than 24GB of video memory, such as the RTX 3090 or A100, which is the most straightforward solution
- Parameter tuning program: Modification
inference_Decoder.pyReducing the batch_size parameter to 1-2 reduces the video memory footprint by about 40%. - Cloud Alternatives: Use a cloud service such as Google Colab Pro to select an A100 or T4 GPU instance to temporarily address hardware limitations
- Model streamlining program: By
quantize.py4-bit quantization of the Mistral-7B model reduces video memory requirements from 24GB to 12GB
Additional recommendation: run regularlynvidia-smiMonitor video memory usage and close other programs that consume video memory. For long-term use, it is recommended to configure a dedicated development environment.
This answer comes from the articleAnimeGamer: An Open Source Tool for Generating Anime Videos and Character Interactions with Language CommandsThe
May not be reproduced without permission:AI productivity tools " How to solve the slow generation problem caused by insufficient GPU video memory during AnimeGamer installation?
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