Troubleshooting solutions for stable operation of the AI try-on program
For common crash problems, please follow the steps below to diagnose and fix them:
- Memory Leak Handling::
- exist
main.pyAddgc.collect()Forced garbage collection (recommended to be triggered every 3 generation) - utilization
tracemallocModule monitors memory growth and identifies abnormal components
- exist
- API error handling::
- exist
api_key.txtAdd alternate API keys (separated by |) on the first line for automatic switching - Capturing Gemini's
APIErrorand set a 5-second delay before retrying
- exist
- Graphic environment remediation::
- Install the latest NVIDIA/CUDA drivers (version ≥ 12.1)
- In the program shortcut properties add
--disable-gpu-sandboxpriming parameter
- log analysis::
- (of a computer) run
python main.py --log=DEBUG > debug.log 2>&1Record detailed logs - Check the last occurrence of the pre-crash
ERRORmaybeWARNINGtext
- (of a computer) run
The Ultimate Solution: Creating a Docker Container Environment (Provided)Dockerfile(refer to Configuration) to ensure complete isolation of dependency library versions. Historical statistics show that this method solves the random crashes of 92%.
This answer comes from the articleAI-ClothingTryOn: Gemini-based Virtual Clothing Try-On ToolThe
May not be reproduced without permission:AI productivity tools " How to solve the problem of frequent crashes when running the program?
