<h1 id="real-police-uncle-tang-jing-or">Real police Uncle tang jing | 熊警察大叔写真</h1><h3 id="critical-warning-or">🔴 CRITICAL WARNING | 重要警告</h3><p><strong>Please load the specific workflow template for your version.</strong> <strong>请务必加载对应的 ComfyUI 工作流模板。</strong></p><hr /><h3 id="model-overview-or">⚡ Model Overview | 模型简介</h3><h3 id="english-this-model-is-a-lora-specialized-in-generating-photorealistic-stout-east-asian-policeman-&quot;bear-daddies&quot;."><strong>[English]</strong> This model is a LoRA specialized in generating photorealistic, stout East Asian policeman "Bear Daddies".</h3><ul><li><p><strong>Fantasy Realized:</strong> Fine-tuned for the ideal "Bear Daddy" physique—stout, solid, and mature, with a rugged Hunanese vibe.</p></li><li><p>(Trigger: <code>tang jing</code>)</p></li></ul><h3 id="the-trigger-word-may-vary.-using-the-filename-as-the-trigger-word-is-generally-correct.-my-lora-naming-convention-is-model-name-+-trigger-word-for-example-zimageturbo-tangnano.-zimage-turbo-is-the-model-name-and-tangnano-is-the-trigger-word."><em>The trigger word may vary. Using the filename as the trigger word is generally correct. My LoRa naming convention is model name + trigger word, for example, Zimageturbo-tangNano. Zimage Turbo is the model name, and tangNano is the trigger word.</em></h3><h3 id="lora&quot;&quot;"><strong>[中文]</strong> 这是一个专用的 LoRA，专注于生成超写实风格、壮硕体型的东方警察“熊叔/大叔”。</h3><ul><li><p><strong>理想复现：</strong> 针对“壮硕大叔”体型微调——结实厚重、成熟稳重，带有东亚熊男特有的粗犷气质。</p></li><li><p>触发词 ：<code>tang jing</code></p></li></ul><p></p><hr /><h3></h3><p></p>

police_bear_daddy

zimagebase-tangjING_20.safetensors

zimageBase_tang_jing_4K_000002750.safetensors

v2.0（ZIB）

v2.0(flux.2 klein 9B)

v2.0（Z image Base ZIB）

v2.0（Flux.2 klein 9B )

v1.0(flux.2  klein 9b)

v1.0(Z image Base ZIB)

### You are viewing the default Readme template as no detailed model-card was provided by the model’s contributors. You can access the model files in the "Files and versions" tab.
#### Model files may be downloaded with ModelScope SDK or through git clone directly.

Download with ModelScope’s Python SDK
```bash
#Install ModelScope
pip install modelscope
```
```python
#Download with ModelScope’s Python SDK
from modelscope import snapshot_download
model_dir = snapshot_download('jinlouHe/zimagebase-tangjING')
```
Download with Git clone
```
git clone https://www.modelscope.ai/jinlouHe/zimagebase-tangjING.git
```

<p style="color: lightgrey;">If you are a contributor to this model, we invite you to promptly update the model card content according to <a href="https://www.modelscope.ai/docs/contribute/model-integration" style="color: lightgrey; text-decoration: underline;">the model contribution documentation</a>.</p>


Files with SHA256: c1522db741c08747811b3fc9d75950c7596044a580e21d1876010cddc5e0eec9