Hello everyone, I'm Poakl, the model creator.
This time, I'm bringing you a brand-new LoRA model, trained based on the Z-Image checkpoint.
Its core function is to optimize and repair hands and limbs specifically for Z-Image characters in images generated by Z-Image, while preserving its excellent overall output quality. We know that while Z-Image excels at generating characters, it can still produce occasional flaws like deformed fingers or unnatural limbs, especially in complex poses.
To address these pain points, I went through repeated adjustments and tests with the training set and parameters to finally create this LoRA tailored for Z-Image characters that effectively improves these issues.
How to Use:
This LoRA is very easy to use— no trigger words! Simply load it into your workflow and adjust the weight.
Recommended Weight Settings:
Recommended weights: 0.8 or 1.0. Default to 0.8 for stable repair results.
If results are suboptimal, try 1.0. This provides stronger correction for tougher cases.
We are still in the exploratory stage of training models for Z-Image. I hope you'll all give this LoRA a try, and I'd love to see your results and comments in the feedback section! Your feedback is the biggest motivation for me to keep creating and improving. Thank you all~
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大家好，我是模型作者Poakl。
这次我为大家带来一个全新的Lora模型，这个模型是基于 Z-Image 底模进行训练的。
它的核心功能是在保持Z-Image优秀出图效果的基础上，针对Z-Image角色的手部与肢体进行优化和修复。我们知道，尽管Z-Image在生成人物方面表现出色，但在处理手部细节和复杂肢体姿势时，偶尔还是会出现手指变形、肢体不自然等瑕疵。
为了解决这些痛点，我通过对训练集和参数的反复调整与测试，最终制作出了这个专为Z-Image角色设计的Lora，能有效改善手部和肢体问题。
如何使用：
这个Lora非常易用，没有触发词！你只需要在你的工作流中加载它，然后调整权重即可。
权重使用建议：
推荐权重为 0.8 或者 1.0。 默认使用 0.8 权重，能获得稳定的修复效果。
效果不佳时，可提高至 1.0。 这个权重更强力，适合需要更彻底修复的情况。
目前我们对于Z-Image模型的训练仍处于探索阶段，希望大家能多多使用我制作的这个Lora，也非常欢迎大家在评论区多多返图和交流！你们的反馈是我不断优化和创作的最大动力，谢谢大家！