---
title: wlopstyle
canonical_url: "https://www.modelscope.cn/models/Sherbo/wlopstyle"
md_url: "https://www.modelscope.cn/models/Sherbo/wlopstyle.md"
repository: Sherbo/wlopstyle
last_updated: 2026-08-07
license: "Apache License 2.0"
pipeline_tag: text-to-image-synthesis
tasks:
  - text-to-image-synthesis
base_model:
  - Tongyi-MAI/Z-Image-Turbo
base_model_relation: adapter
parameters: 680.3M
tensor_type:
  - BF16
library_name:
  - lora
  - safetensors
supports_inference: txt2img
downloads: 25
stars: 0
tags:
  - LoRA
  - text-to-image
  - wlop
  - "风格"
---

# wlopstyle

> wlopstyle - Sherbo 在 ModelScope 开源的模型。当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。

Sherbo/wlopstyle 是 ModelScope 魔搭社区上的 680.3M 参数text-to-image-synthesis模型，采用 Apache License 2.0 许可，基于 Tongyi-MAI/Z-Image-Turbo 构建，并支持在线推理（txt2img）。

- **Repository**: Sherbo/wlopstyle
- **License**: Apache License 2.0
- **Tasks**: text-to-image-synthesis
- **Parameters**: 680.3M
- **Base model**: Tongyi-MAI/Z-Image-Turbo
- **Online inference**: txt2img
- **Tags**: LoRA, text-to-image, wlop, 风格
- **Downloads**: 25
- **Stars**: 0
- **Last updated**: 2026-08-07

Source: https://www.modelscope.cn/models/Sherbo/wlopstyle

---

### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。

> 6张素材1800步训练的...事实上1000,1250就已经有较好的效果, 建议默认使用1250, 模型强度默认0.8,cfg默认1

1. 如果你的提示词比较简短, 可以试试1250, 强度:0.8, cfg:1, 采样步数:9; 如果使用1250之后的版本可能会出现背景元素及内容大概率杂乱无章的情况
2. 如果你的提示词很详细,可以试试all, 例如以下示例对应samples中的00920, 使用all版本, 模型强度0.8:
```
wlopstyle.
(Character): A young woman with fair, softly illuminated skin glows under directional light that catches her cheekbone and jawline; she possesses delicate facial structure with subtly defined lips tinted in muted rose, dark eyes framed by long lashes, and fine brows arched gently above expressive sockets; her thick, glossy black hair is gathered into a voluminous topknot secured loosely with sheer netting, allowing wisps to cascade along her temple and neck; her slender build suggests youthfulness without being fragile, conveying poised energy through subtle posture rather than overt movement.

(Cloth): She wears a layered ensemble consisting of a deep brown zip-up hoodie over a darker inner shirt featuring contrasting stitching along its collar and shoulders; beneath this, hints of another layer suggest additional texture; no discernible jewelry, belts, or distinct micro-accessories adorn her frame except perhaps faint seams suggesting pocket details; a strap from what might be a bag rests across her right shoulder, partially obscured but implying utility; there’s nothing else visually identifiable as ornamentation beyond structural seam lines defining garment construction.

(Core Action): Her upper body rotates toward the viewer’s left while maintaining forward-facing orientation relative to the background wall behind her — head tilted ever so slightly downward at approximately ten degrees—her gaze directed away from direct engagement with any object before her; both arms remain relaxed alongside her sides, neither folded nor raised, leaving palms open and facing inward near waist level; legs appear grounded yet unclenched, possibly bearing slight tension around ankles indicating readiness despite stillness; spine remains straight but not rigid, angled minutely towards the camera axis giving impressionistic balance between alert observation and contemplative pause.

(Scene & Atmosphere): Behind her stretches a translucent whiteboard covered densely with mathematical equations and curved graphs rendered in faded ink strokes suggestive of prolonged study sessions past; ambient daylight filters diffusely through unseen windows casting cool blue tones onto surfaces and illuminating dust motes suspended mid-air like miniature constellations drifting lazily upward; air feels heavy with intellectual concentration underscored by quiet solitude—a space where thoughts crystallize amidst abstract symbols etching invisible pathways across glassy planes.

(Camera & Composition): Framing captures only partial profile view centered precisely upon her face and upper torso occupying roughly two-thirds width of canvas horizontally while vertically aligned nearly halfway up subject height; shallow focus renders foreground sharply clear against blurred backdrop emphasizing isolation effect via selective emphasis technique wherein edges dissolve gradually outwardwards until lost entirely beyond immediate vicinity surrounding central focal point; composition leans diagonally due to tilt originating from horizon line positioned low thereby enhancing sense of introspection inherent in solitary moment captured here.
```

![00920](./samples/ComfyUI_00920_.png)

3. 由于素材极少,所以似乎只认识"a...woman","a...man","一个...男性","一个...女性"这类主角提示词...例如"一个老渔民"建议换成"一个老年男性,穿着捕鱼服..."
4. 对于其他非人主角, 例如动物之类的可以试试all,适当提高模型强度, 例如1.0的组合试试...比如:
```
wlopstyle.
a honeybee collecting pollen on a purple lavender flower, blurred green background, sharp details, sunlight.
```
![00866](./samples/ComfyUI_00866_.png)

5. 总之...(1250,1500,1750,all)*(0.8~1),都可以试试...

#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型

SDK下载
```bash
#安装ModelScope
pip install modelscope
```
```python
#SDK模型下载
from modelscope import snapshot_download
model_dir = snapshot_download('Sherbo/wlopstyle')
```
Git下载
```
#Git模型下载
git clone https://www.modelscope.cn/Sherbo/wlopstyle.git
```

<p style="color: lightgrey;">如果您是本模型的贡献者，我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>，及时完善模型卡片内容。</p>
