Performance Optimization Solutions
1Prompt1Story itself uses a lightweight solution with no training to further optimize the recommendations:
- Hardware Configuration:Ensure that CUDA 12.1 environment has been properly installed, video memory recommended ≥ 8GB. available
nvidia-smiMonitor GPU Utilization - Parameter Adjustment:exist
main.pycan be modified in 1) downsampling factor (default 0.7); 2) reweighting intensity (default 0.5); and 3) number of iterations (default 20). These parameters balance the quality and speed - Caching mechanism:Generated identity tokens are automatically cached, saving 30% computation when generating them again for the same role
- Batch processing:utilization
--batch_sizeParameters handle multiple prompts simultaneously, especially when performing Consistory+ tests - Selective loading:If you do not need ControlNet function, you can not load the related module during initialization.
Diagnostic tip: When generating speed anomalies, check: 1) if the virtual environment is active; 2) if the torch recognizes the GPU; 3) if memory is leaking (available)gpustat(tool monitoring)
This answer comes from the articleOne-Prompt-One-Story: Text Prompts Generate Character Identity Consistent ImagesThe
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