Changes

This update introduces benchmarking and metadata-related features, along with improvements to the trainer engine and documentation.

Detailed changes:

• Add benchmark.py for training performance evaluation
• Add test_benchmark.py and test_metadata_features.py to improve test coverage
• Enhance the trainer engine with advanced evaluation capabilities
• Improve LoRA method exporting with detailed example configurations
• Update documentation with comprehensive usage and configuration examples

Status

With this update completed, the training framework is now ready for official use.

For detailed usage instructions and examples, please refer to:

• Demo Guide: DEMO.md
• Usage Guide: USAGE.md

Minimum Hardware Requirements

Please note that this project has relatively high resource requirements. The following configuration is recommended as the minimum supported environment:

OS: Ubuntu 24.04 LTS
RAM: 64 GB
GPU VRAM: At least 12 GB
NVMe SSD (recommended for latent/text-encoder caching)

Running below these requirements may result in insufficient memory, significantly reduced performance, or inability to complete training.

Thank you for following the development of this project.

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