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## Update History
- **September 22, 2025**: We have supported Direct Preference Optimization (DPO) training for Qwen-Image. Please refer to the [example code](examples/qwen_image/model_training/lora/Qwen-Image-DPO.sh) for the training script.
- **September 9, 2025**: Our training framework now supports multiple training modes and has been adapted for Qwen-Image. In addition to the standard SFT training mode, Direct Distill is now also supported; please refer to [our example code](./examples/qwen_image/model_training/lora/Qwen-Image-Distill-LoRA.sh). This feature is experimental, and we will continue to improve it to support comprehensive model training capabilities.
- **August 28, 2025** We support Wan2.2-S2V, an audio-driven cinematic video generation model open-sourced by Alibaba. See [./examples/wanvideo/](./examples/wanvideo/).

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## 更新历史
- **2025年9月22日** 我们支持了 Qwen-Image 的直接偏好对齐 (DPO) 训练，训练脚本请参考[示例代码](examples/qwen_image/model_training/lora/Qwen-Image-DPO.sh)。
- **2025年9月9日** 我们的训练框架支持了多种训练模式，目前已适配 Qwen-Image，除标准 SFT 训练模式外，已支持 Direct Distill，请参考[我们的示例代码](./examples/qwen_image/model_training/lora/Qwen-Image-Distill-LoRA.sh)。这项功能是实验性的，我们将会继续完善已支持更全面的模型训练功能。
- **2025年8月28日** 我们支持了Wan2.2-S2V，一个音频驱动的电影级视频生成模型。请参见[./examples/wanvideo/](./examples/wanvideo/)。