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)










Created with Tutu AI Workflow
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 on the actual fishnet stocking subject instead of unrelated background content.

Official website: https://zhaotutu.xyz/
Tutu Trainer: https://zhaotutu.xyz/downloads/tututrainer/
Tutu Annotator: https://zhaotutu.xyz/downloads/tutuannotator/
Bilibili: https://space.bilibili.com/431046154
YouTube: https://www.youtube.com/@zhaotutu/videos
Telegram: https://t.me/zhaotutu
TikTok: https://www.tiktok.com/@zhaotututu
Reddit: https://www.reddit.com/user/zhaotututu/
GitHub: https://github.com/zhaotututu
Email: bigpox12@gmail.com
QQ: 331506796
Tutu HiSilk Z-Image-Turbo: Large Fishnet Stockings
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. The model is usable, but the Z-Image workflow direction is still evolving.
Type: large fishnet stockings LoRA
Base model: ZImageTurbo
Material: photo source material
Loader: normal LoRA loader
Recommended LoRA weight: 0.8
Prompt direction: wearing fishnet stockings
Compatibility: compatible with Z-Image workflows
Workflow notes and recommended settings
Dataset captions were made with Tutu Annotator. Banana 2 / Banana PRO-style visual annotation and intelligent subject filtering were used to reduce unrelated label noise. Training was completed with Tutu Trainer.
Use a Z-Image-Turbo compatible workflow. Load this LoRA normally. Set LoRA weight around 0.8. In the prompt, write wearing fishnet stockings. If the pattern is weak, add large fishnet stockings, large mesh fishnet, and visible fishnet pattern. If the pattern affects clothing or background, lower the weight slightly and describe those areas clearly.
Z-Image workflow: https://www.runninghub.ai/user-center/1936823199386537986/webapp?inviteCode=rh-v0990
New users can register with code rh-v0990.
Prompt keywords: wearing fishnet stockings, large fishnet stockings, large mesh fishnet, visible fishnet pattern, fashion photography, realistic clothing texture.
中文说明
这是图图嗨丝造相 Z-Image-Turbo 的大网渔网袜实验版 LoRA,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。基础模型:ZImageTurbo。加载方式:普通 LoRA Loader。推荐权重:0.8。提示词写 wearing fishnet stockings;效果弱时可加 large fishnet stockings、large mesh fishnet、visible fishnet pattern。
模型仍是实验版,但已经可用于 Z-Image 工作流。你需要对使用本模型生成的任何作品承担全部责任。不要使用
模型信息
Created with Tutu AI Workflow
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 on the actual fishnet stocking subject instead of unrelated background content.

Official website: https://zhaotutu.xyz/
Tutu Trainer: https://zhaotutu.xyz/downloads/tututrainer/
Tutu Annotator: https://zhaotutu.xyz/downloads/tutuannotator/
Bilibili: https://space.bilibili.com/431046154
YouTube: https://www.youtube.com/@zhaotutu/videos
Telegram: https://t.me/zhaotutu
TikTok: https://www.tiktok.com/@zhaotututu
Reddit: https://www.reddit.com/user/zhaotututu/
GitHub: https://github.com/zhaotututu
Email: bigpox12@gmail.com
QQ: 331506796
Tutu HiSilk Z-Image-Turbo: Large Fishnet Stockings
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. The model is usable, but the Z-Image workflow direction is still evolving.
Type: large fishnet stockings LoRA
Base model: ZImageTurbo
Material: photo source material
Loader: normal LoRA loader
Recommended LoRA weight: 0.8
Prompt direction: wearing fishnet stockings
Compatibility: compatible with Z-Image workflows
Workflow notes and recommended settings
Dataset captions were made with Tutu Annotator. Banana 2 / Banana PRO-style visual annotation and intelligent subject filtering were used to reduce unrelated label noise. Training was completed with Tutu Trainer.
Use a Z-Image-Turbo compatible workflow. Load this LoRA normally. Set LoRA weight around 0.8. In the prompt, write wearing fishnet stockings. If the pattern is weak, add large fishnet stockings, large mesh fishnet, and visible fishnet pattern. If the pattern affects clothing or background, lower the weight slightly and describe those areas clearly.
Z-Image workflow: https://www.runninghub.ai/user-center/1936823199386537986/webapp?inviteCode=rh-v0990
New users can register with code rh-v0990.
Prompt keywords: wearing fishnet stockings, large fishnet stockings, large mesh fishnet, visible fishnet pattern, fashion photography, realistic clothing texture.
中文说明
这是图图嗨丝造相 Z-Image-Turbo 的大网渔网袜实验版 LoRA,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。基础模型:ZImageTurbo。加载方式:普通 LoRA Loader。推荐权重:0.8。提示词写 wearing fishnet stockings;效果弱时可加 large fishnet stockings、large mesh fishnet、visible fishnet pattern。
模型仍是实验版,但已经可用于 Z-Image 工作流。你需要对使用本模型生成的任何作品承担全部责任。不要使用