DirectAlign Mitigates Reward Tampering LoRA

This is an early-version LoRA that adopts the DirectAlign* method; its performance is not guaranteed to be optimal.

This model is trained based on the ILLUSTRIOUS-v0.1 model.

The magnitude of the model weights has no correlation with image generation—you can use it right after loading (during my testing in Forge WebUI, I found that even negative weights work).

You are welcome to use it in combination with other base models and LoRAs.

Hope you enjoy using it!

GitHub link link   link   Used to mitigate reward tampering in models.

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It is prohibited to engage in behaviors such as merging this model for sale or directly monetizing and selling it.

这是一个使用了DirectAlign*方法的早期版本lora 效果不保证能做到最好

此模型基于ILLUSTRIOUS-v0.1模型训练

模型权重高低与生成图片无关,加载即使用(我在Forge WebUI测试 发现权重为负数也可以)

欢迎搭配其他基础模型&LoRA进行使用

祝用的开心

GitHub项目链接     style="font-size:12px">DirectAlign* : 用于减轻模型存在的奖励作弊

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禁止对此模型进行融合贩卖,直接货币化贩卖等行为