According to the official recommended configurations and measured data, the requirements for each version are as follows:
- Basic version (CPU mode)
- OS: Win10/macOS10.15+
- Processor: Intel Corei5 or equivalent AMD processor
- Memory: 8GB and above
- Storage: at least 2GB free space for model caching
- Applicable scenarios: processing a small number of pictures or short videos (<2 minutes)
- Accelerated version (GPU mode)
- Graphics card requirements: NVIDIARTX2060/AMDRX5700 and above
- Video Memory: ≥6GB dedicated video memory
- Recommended to use CUDA11.x or ROCm driver
- Performance boost: 3-5x faster 4K video processing
- Enterprise Configuration
- Multi-card support: multiple GPUs can be invoked for parallel computing
- Memory Expansion: 32GB or more is recommended to handle very large files
- Storage Solution: NVMeSSD Accelerated Model Loading
Comparison of real-world data (processing 100 4K images):
- Laptop Nucleus: about 120 minutes
- RTX3060 graphics card: 18 minutes
- RTX4090 graphics card: 6 minutes
Note: The software can display the resource utilization rate in real time during processing, and it is recommended that the batch size be dynamically adjusted according to the complexity of the task.
This answer comes from the articleAiarty: Native AI Software to Enhance Image and Video QualityThe
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