这是我的神功大成之作，用 265 张素材训练而成的整个无期迷途的风格，在展示图片中有 15 位无期迷途的人物，还有 4 张场景图我放它们的目的是为了对应我之前说的，它是整个无期迷途的画风当然也包括场景。

说回那 15 个角色她们均没有使用任何角色 lora，纯靠提示词生成所以有些人物并不太像，但有些人物像的简直就像是我使用了 lora 一样但是我向你再次保证我绝对没有使用任何人物的 lora，场景当然也没有使用任何 lora。

你们可以猜一下，每个图片对应的是什么人物？每个场景对应的是哪个场景？如果你都猜对的话，那你真的很爱这款游戏。

This is my magnum opus — trained with 265 reference images to capture the complete art style of Path to Nowhere. The showcase features 15 characters from the game, plus 4 scene images. I included those scenes to back up what I said earlier: this is the full Path to Nowhere art style, which of course also covers environments.

Speaking of the 15 characters — none of them used any character LoRA. They were generated purely through prompts, so some don't look quite right. But others are so accurate it's as if I used a LoRA. I assure you again: I absolutely did not use any character LoRA, and no LoRA was used for the scenes either.

Feel free to guess — which character does each image depict? And which location does each scene correspond to? If you get them all correct, you truly love this game.

还有接下来的一点非常非常重要，这是这个画风Lora唯一的缺点，有可能会生成水印在右下角，因为素材来源的原因，我不可能每张图片的水印都去掉，不然这265张图片我要搞多长时间才能搞好？生成完图片后，请各位先确认一下右下角有没有水印，如果有的话，各位再自行用工具将其去除掉就行了，请放心，出现水印的概率并不大。

One more thing that's very, very important — this is the only drawback of this art style LoRA. It may occasionally generate a watermark in the bottom right corner. Due to the source of the training materials, I couldn't remove the watermark from every single image — otherwise, how long would it have taken me to process all 265 images?

After generating your images, please first check whether there's a watermark in the bottom right corner. If there is, just remove it yourself with any editing tool. Rest assured, the chance of a watermark appearing is quite low.

其次，你会发现我并没有只发一个lora，我发布了整整7个lora，原因是不同人的情况是不一样的，人喜欢泛化性好的画风lora，不喜欢拟合的画风lora， 所以我发布了7个版本，这7个版本，随着步数的增加，拟合程度逐渐增加，直到达到最大值，各位可以根据自己的情况来选择下载对应的Lora

Secondly, you'll notice I didn't just release one LoRA — I published a full seven versions. The reason is that everyone's needs differ: some prefer style LoRAs with strong generalization, while others want tighter fitting. So across these seven versions, the degree of style fitting gradually increases with training steps, reaching its maximum at the final checkpoint. Feel free to choose and download the version that matches what you're looking for.

参考如下： Refer to the following：

4000——风格刚成型，泛化性最好

4250——风格进一步强化，细节开始丰富，泛化仍优秀

4500——大概率最佳点，风格与泛化的平衡点

4750——70% 位置，风格最稳，笔触色彩最贴合

5000——风格浓烈，细节饱满，泛化开始下降

5250——拟合度高，风格特征极强，换提示词容易崩

5500——接近上限，再往后开始过拟合，出现训练图残留

4000——Style just formed, best generalization

4250——Style further strengthened, details starting to enrich, generalization still excellent

4500——Likely the sweet spot — balance of style fidelity and flexibility

4750——70% mark, most stable style, brushwork and color matching closest to source

5000——Strong style presence, rich details, generalization begins to decline

5250——High fitting, extremely strong style signature, tends to break when changing prompts

5500——Approaching upper limit, overfitting begins beyond this point, training image artifacts start appearing

其中的这 4500 部就是 7 个 lora 中，我唯一一个没有明确标明步数的 lora，也是我认为效果最好的 lora，我把它命名为了：Path to Nowhere Style_anima_lora

Among them, the 4500-step version is the only one of the seven LoRAs where I didn't explicitly label the training steps. It's also the one I believe performs the best. I named it: Path to Nowhere Style_anima_lora

最后说回这个 Lora 的触发词很简单，就只有一个触发词：wqmt style,

Lastly, the trigger word for this LoRA is very simple — there's only one: wqmt style,