Memory Overflow Prevention and Handling Program
Provides systematic solutions to common memory problems:
- Hardware Detection: Execute before running
python check_memory.pyScript that automatically evaluates the remaining resources of the system and recommends an appropriate configuration - Segment generation: Enable "Segmented Generation" in Gradio Advanced Options to automatically split long videos into multiple 15-frame segments.
- monitoring mechanism: Installation
gpustatThe tool monitors the video memory in real time, sets--auto-restart 95%Automatic restart when parameter is at a critical value - emergency management: When an OOM error occurs, immediately lower the "Generation Resolution" to 512 x 512 and close the other Lora models.
Preventive measures also include regular implementation ofpython clear_cache.pyClear the residual cache to avoid running other graphics-intensive applications at the same time.
This answer comes from the articleHunyuanVideoGP: A Hybrid Video Generation Model with Support for Running on Low-End GPUsThe
May not be reproduced without permission:AI productivity tools " How to avoid memory overflow problems during video generation?
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