Solutions to optimize memory usage
Magic 1-For-1 is specifically designed to optimize for the common memory usage problems during video generation. The following are the specific operation programs:
- Adoption of a two-phase decomposition architecture: Significantly reduces the memory requirements of a single model by splitting the text-to-video task into text-to-image and image-to-video subtasks
- Quantitative technology applications: Add the -quantization False parameter to the generate command to enable or disable quantization, which reduces the size of the model and thus the memory footprint.
- Single GPU Adaptation Optimization: the model was designed to run efficiently in a single GPU environment, and the pre-defined parameter configuration (configs/test/text_to_video/4_step_ti2v.yaml) already contains memory optimization settings
- Preprocessing Components Download: Download Hugging Face components (tencent/HunyuanVideo, etc.) to the specified directory in advance to avoid extra memory consumption during dynamic loading at runtime.
Advanced Optimization Recommendations
- When generating longer videos, you can try to process them in paragraphs and then splice them together at the end.
- Close unnecessary background programs to free up more video memory
- Use NVIDIA-smi to monitor video memory usage and adjust batch size accordingly
This answer comes from the articleMagic 1-For-1: efficient generation of video open source project that claims to generate a minute of video in one minuteThe
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