<h2>Created with Tutu AI Workflow</h2>
Tagged with Tutu Annotator. Trained with Tutu Trainer.
This LoRA is part of my Tutu AI workflow. Tutu Trainer is used for LoRA training, model resource management, parameter presets, and training checks. Tutu Annotator is used for dataset annotation, prompt reverse engineering, English-friendly tags, and cleaner searchable captions.
For this Z-Image-Turbo experiment, Tutu Annotator was used with Banana 2 / Banana PRO-style visual annotation and intelligent subject filtering, so the tags focus more on the actual fishnet stocking subject instead of unrelated background content.
<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b87f65a3-f843-47b2-b754-cc37264ff1c2/width=1600/b87f65a3-f843-47b2-b754-cc37264ff1c2.png" alt="Tutu AI Workflow - Tutu Trainer and Tutu Annotator" />
<ul>
<li>Official website: <a target="_blank" rel="ugc" href="https://zhaotutu.xyz/">https://zhaotutu.xyz/</a></li>
<li>Tutu Trainer: <a target="_blank" rel="ugc" href="https://zhaotutu.xyz/downloads/tututrainer/">https://zhaotutu.xyz/downloads/tututrainer/</a></li>
<li>Tutu Annotator: <a target="_blank" rel="ugc" href="https://zhaotutu.xyz/downloads/tutuannotator/">https://zhaotutu.xyz/downloads/tutuannotator/</a></li>
<li>Bilibili: <a target="_blank" rel="ugc" href="https://space.bilibili.com/431046154">https://space.bilibili.com/431046154</a></li>
<li>YouTube: <a target="_blank" rel="ugc" href="https://www.youtube.com/@zhaotutu/videos">https://www.youtube.com/@zhaotutu/videos</a></li>
<li>Telegram: <a target="_blank" rel="ugc" href="https://t.me/zhaotutu">https://t.me/zhaotutu</a></li>
<li>TikTok: <a target="_blank" rel="ugc" href="https://www.tiktok.com/@zhaotututu">https://www.tiktok.com/@zhaotututu</a></li>
<li>Reddit: <a target="_blank" rel="ugc" href="https://www.reddit.com/user/zhaotututu/">https://www.reddit.com/user/zhaotututu/</a></li>
<li>GitHub: <a target="_blank" rel="ugc" href="https://github.com/zhaotututu">https://github.com/zhaotututu</a></li>
<li>Email: bigpox12@gmail.com</li>
<li>QQ: 331506796</li>
</ul>

<h2>Tutu HiSilk Z-Image-Turbo: Large Fishnet Stockings</h2>
This is an experimental Z-Image-Turbo version of Tutu HiSilk for large fishnet stockings. It uses photo source material and is designed to be loaded with a normal LoRA loader.
This is not the final form of the Z-Image direction. The model is usable, but it still has room for improvement. From the simple prompt requirement, you can also see that the Z-Image workflow itself is still evolving. I am waiting for the more mature official version too.
<ul>
<li>Type: large fishnet stockings LoRA</li>
<li>Base model: ZImageTurbo</li>
<li>Material: photo source material</li>
<li>Loader: normal LoRA loader</li>
<li>Recommended LoRA weight: 0.8</li>
<li>Prompt direction: write <code>wearing fishnet stockings</code></li>
<li>Compatibility: compatible with Z-Image workflows</li>
</ul>

<h3>Workflow notes</h3>
<ul>
<li>Dataset captions were made with Tutu Annotator.</li>
<li>Banana 2 / Banana PRO-style visual annotation was used for material labeling.</li>
<li>Intelligent subject filtering was used to reduce unrelated label noise.</li>
<li>Training was completed with Tutu Trainer.</li>
<li>The model can be loaded with a normal LoRA loader.</li>
</ul>

<h3>Recommended settings</h3>
<ul>
<li>Use a Z-Image-Turbo compatible workflow.</li>
<li>Load this LoRA normally.</li>
<li>Set LoRA weight around 0.8.</li>
<li>In the prompt, write <code>wearing fishnet stockings</code>.</li>
<li>If the fishnet pattern is weak, add <code>large fishnet stockings</code> and <code>visible fishnet pattern</code>.</li>
<li>If the pattern affects clothing or background, lower the weight slightly and describe those areas clearly.</li>
</ul>

<h3>Z-Image workflow</h3>
It is compatible with various Z-Image workflows. My workflow is being gradually expanded here:
<a target="_blank" rel="ugc" href="https://www.runninghub.ai/user-center/1936823199386537986/webapp?inviteCode=rh-v0990">https://www.runninghub.ai/user-center/1936823199386537986/webapp?inviteCode=rh-v0990</a>
New users can register with code <code>rh-v0990</code> if they want to try that workflow route.

<h3>Prompt keywords</h3>
<ul>
<li><code>wearing fishnet stockings</code></li>
<li><code>large fishnet stockings</code></li>
<li><code>large mesh fishnet</code></li>
<li><code>visible fishnet pattern</code></li>
<li><code>fashion photography</code></li>
<li><code>realistic clothing texture</code></li>
</ul>

<h3>Responsible use</h3>
<ul>
<li>You are fully responsible for any creative work made with this model.</li>
<li>Do not use this model to create or share illegal, harmful, malicious, defamatory, fraudulent, or political content.</li>
<li>If you use this model commercially or need custom LoRA cooperation, please contact me first. Thank you.</li>
</ul>

<h2>中文说明</h2>
这是 图图嗨丝造相 Z-Image-Turbo 大网渔网袜 的实验版本。它使用照片素材制作，可以用正常 LoRA 加载器加载。
这还不是 Z-Image 方向的最终形态。模型可以用，但仍然有提升空间。从提示词只需要写得很简单这一点，也能看出 Z-Image 工作流还在发展。我自己也在等更成熟的正式版。
<ul>
<li>类型：大网渔网袜 LoRA</li>
<li>基础模型：ZImageTurbo</li>
<li>素材：照片素材</li>
<li>加载方式：正常 LoRA 加载器</li>
<li>推荐 LoRA 权重：0.8</li>
<li>提示词方向：写 <code>wearing fishnet stockings</code></li>
<li>兼容性：兼容各种 Z-Image 工作流</li>
</ul>

<h3>工作流说明</h3>
<ul>
<li>数据集使用 Tutu Annotator / 图图打标器进行打标。</li>
<li>使用 Banana 2 / Banana PRO 视觉标注能力处理素材。</li>
<li>使用智能主体过滤功能减少无关标签干扰。</li>
<li>模型使用 Tutu Trainer / 图图训练器完成训练。</li>
<li>模型可以用正常 LoRA 加载器加载。</li>
</ul>

<h3>推荐参数</h3>
<ul>
<li>使用兼容 Z-Image-Turbo 的工作流。</li>
<li>正常加载这个 LoRA。</li>
<li>LoRA 权重设置在 0.8 左右。</li>
<li>提示词里写 <code>wearing fishnet stockings</code>。</li>
<li>如果渔网纹理不明显，请补充 <code>large fishnet stockings</code> 和 <code>visible fishnet pattern</code>。</li>
<li>如果纹理影响衣服或背景，稍微降低权重，并把这些区域描述清楚。</li>
</ul>

<h3>Z-Image 工作流</h3>
这个 LoRA 兼容各种 Z-Image 工作流。我的工作流还在这里逐步补充：
<a target="_blank" rel="ugc" href="https://www.runninghub.ai/user-center/1936823199386537986/webapp?inviteCode=rh-v0990">https://www.runninghub.ai/user-center/1936823199386537986/webapp?inviteCode=rh-v0990</a>
新人如果想尝试这个工作流路线，可以使用注册码 <code>rh-v0990</code>。

<h3>出图关键词</h3>
<ul>
<li><code>wearing fishnet stockings</code></li>
<li><code>large fishnet stockings</code></li>
<li><code>large mesh fishnet</code></li>
<li><code>visible fishnet pattern</code></li>
<li><code>fashion photography</code></li>
<li><code>realistic clothing texture</code></li>
</ul>

<h3>声明</h3>
<ul>
<li>你需要对使用本模型生成的任何作品承担全部责任。</li>
<li>不要使用本模型制作或传播非法、有害、恶意、诽谤、诈骗或政治用途内容。</li>
<li>如果将本模型用于商业用途，或需要定制 LoRA 合作，请提前联系我，谢谢。</li>
</ul>

<h2>日本語説明</h2>
これは Tutu HiSilk Z-Image-Turbo large fishnet stockings の experimental version です。photo source material を使い、normal LoRA loader で読み込めます。
これは Z-Image 方向の final version ではありません。使えますが、まだ改善の余地があります。prompt がかなり simple で済むことからも、Z-Image workflow 自体がまだ進化中だと感じます。私もより成熟した official version を待っています。
<ul>
<li>Type: large fishnet stockings LoRA</li>
<li>Base model: ZImageTurbo</li>
<li>Material: photo source material</li>
<li>Loader: normal LoRA loader</li>
<li>Recommended LoRA weight: 0.8</li>
<li>Prompt direction: <code>wearing fishnet stockings</code> と書いてください</li>
<li>Compatibility: Z-Image workflows と互換性があります</li>
</ul>

<h3>Workflow notes</h3>
<ul>
<li>dataset captions は Tutu Annotator で作りました。</li>
<li>Banana 2 / Banana PRO-style visual annotation を使いました。</li>
<li>intelligent subject filtering で不要な tag noise を減らしました。</li>
<li>training は Tutu Trainer で行いました。</li>
<li>normal LoRA loader で読み込めます。</li>
</ul>

<h3>推奨設定</h3>
<ul>
<li>Z-Image-Turbo compatible workflow を使ってください。</li>
<li>この LoRA を普通に読み込んでください。</li>
<li>LoRA weight は 0.8 前後にしてください。</li>
<li>prompt には <code>wearing fishnet stockings</code> と書いてください。</li>
<li>fishnet pattern が弱い場合は <code>large fishnet stockings</code> と <code>visible fishnet pattern</code> を追加してください。</li>
<li>pattern が clothing や background に影響する場合は weight を少し下げ、それらを明確に書いてください。</li>
</ul>

<h3>Z-Image workflow</h3>
various Z-Image workflows と互換性があります。私の workflow はここで少しずつ補充しています:
<a target="_blank" rel="ugc" href="https://www.runninghub.ai/user-center/1936823199386537986/webapp?inviteCode=rh-v0990">https://www.runninghub.ai/user-center/1936823199386537986/webapp?inviteCode=rh-v0990</a>
この workflow route を試したい場合は code <code>rh-v0990</code> を使えます。

<h3>プロンプト例</h3>
<ul>
<li><code>wearing fishnet stockings</code></li>
<li><code>large fishnet stockings</code></li>
<li><code>large mesh fishnet</code></li>
<li><code>visible fishnet pattern</code></li>
<li><code>fashion photography</code></li>
<li><code>realistic clothing texture</code></li>
</ul>

图图的嗨丝造相-Z-Image-Turbo（大网渔网袜）/TuTu's HiSilk 造相 - Z-Image-Turbo (Large Fishnet Stockings)

v1.0 - Z-Image-Turbo Large Fishnet Stockings
This is an experimental Z-Image-Turbo version for large fishnet stockings. It uses photo source material, Tutu Annotator captions, and Tutu Trainer training.
<ul>
<li>Base model: ZImageTurbo</li>
<li>Loader: normal LoRA loader</li>
<li>Recommended LoRA weight: 0.8</li>
<li>Prompt: <code>wearing fishnet stockings</code></li>
<li>Extra keywords: <code>large fishnet stockings</code>, <code>large mesh fishnet</code>, <code>visible fishnet pattern</code></li>
</ul>
This is still an experimental version and has room for improvement, but it is usable with Z-Image workflows.
Created with Tutu AI Workflow. Tagged with Tutu Annotator and trained with Tutu Trainer. Official website: <a target="_blank" rel="ugc" href="https://zhaotutu.xyz/">https://zhaotutu.xyz/</a>

v1.0 中文说明
这是 Z-Image-Turbo 的大网渔网袜实验版本，使用照片素材、Tutu Annotator / 图图打标器打标，并通过 Tutu Trainer / 图图训练器训练。
<ul>
<li>基础模型：ZImageTurbo</li>
<li>加载方式：正常 LoRA 加载器</li>
<li>推荐 LoRA 权重：0.8</li>
<li>提示词：<code>wearing fishnet stockings</code></li>
<li>补充关键词：<code>large fishnet stockings</code>, <code>large mesh fishnet</code>, <code>visible fishnet pattern</code></li>
</ul>
这仍然是实验版本，还有提升空间，但已经可以在 Z-Image 工作流里使用。

v1.0 日本語説明
これは Z-Image-Turbo 用の large fishnet stockings experimental version です。photo source material、Tutu Annotator captions、Tutu Trainer training を使っています。
<ul>
<li>Base model: ZImageTurbo</li>
<li>Loader: normal LoRA loader</li>
<li>Recommended LoRA weight: 0.8</li>
<li>Prompt: <code>wearing fishnet stockings</code></li>
<li>Extra keywords: <code>large fishnet stockings</code>, <code>large mesh fishnet</code>, <code>visible fishnet pattern</code></li>
</ul>
まだ experimental version で改善の余地がありますが、Z-Image workflows で使えます。

Tutu's HiSilk Fishnet Stockings - Z-Image-Turbo.safetensors

v1.0

1、照片素材2、超级智能打标器打标，使用香蕉2（香蕉PRO）模型对素材进行标注，使用智能主体过滤功能对标签进行过滤。3、采用魔改版AI-TOOLKIT套装进行训练。使用正常的LORA加载器就可以加载。建议权重0.8。提示词里写穿着渔网袜即可。从提示词你就能发现这个模型还有提升空间。说实话效果似乎不如第一个模型，现在开始坐等正式版。图图的心血力作，图图的超级智能打标器，地表最强打标工具没有之一。图图的超级智能打标器资源：<a target="_blank" rel="noopener noreferrer nofollow" href="https://zhaotutu.yuanlitui.com/a/arw0">https://zhaotutu.yuanlitui.com/a/arw0</a>图图的超级智能打标器、视频提示词扩展、图图的代码方舟以及其他AIGC资源：<a target="_blank" rel="noopener noreferrer nofollow" href="https://xcnjx086d1sd.feishu.cn/wiki/Fi5awsYfEi87yvk5dtEcuKbknFd?from=from_copylink">https://xcnjx086d1sd.feishu.cn/wiki/Fi5awsYfEi87yvk5dtEcuKbknFd?from=from_copylink</a>图图的超级智能打标器使用说明书：<a target="_blank" rel="noopener noreferrer nofollow" href="https://xcnjx086d1sd.feishu.cn/wiki/FWJEwUAGViZgnVknGMYceEgVnwd?from=from_copylink">https://xcnjx086d1sd.feishu.cn/wiki/FWJEwUAGViZgnVknGMYceEgVnwd?from=from_copylink</a>我的众多模型，好评MAX，很多都是实拍制作，全网200万使用保证：<a target="_blank" rel="noopener noreferrer nofollow" href="https://civitai.com/user/zhaotutu">https://civitai.com/user/zhaotutu</a>兼容各种Z-IMAGE工作流。我的工作流在这里，正在努力补充中，建议下载后食用，效果更佳。<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.runninghub.ai/user-center/1936823199386537986/webapp?inviteCode=rh-v0990">https://www.runninghub.ai/user-center/1936823199386537986/webapp?inviteCode=rh-v0990</a>新人的话可以用我的码注册：rh-v0990；好处多多....欢迎大家加入：图图的小黑屋：950351015图图的小粉屋：628266084图图的小绿屋：903753035交流技巧，互通有无。认真回答问题哦~

Files with SHA256: 17a5f4a4ce20872ccbfba36f704ce0501c30ceee26252d95aacad68776b49e2c