<h2 id="lora-to-generate-pictures-of-indian-woman.">LoRA to generate pictures of Indian Woman.</h2><h3 id="use-different-names-to-generate-picture-of-different-women."><span style="color:rgb(135, 232, 222);font-size:16px">Use different names to generate picture of different women.</span></h3><p></p><h3 id="disclaimer-for-ai-girl-lora"><strong>Disclaimer for AI Girl LoRA</strong></h3><p><span style="color:rgb(76, 176, 80)">The AI Girl LoRA image generation model produces outputs based on probabilistic training data and does not guarantee accuracy, originality, or freedom from bias. Users assume all risks associated with its use, including potential misuse of intellectual property or unintended content. By using this tool, you agree to indemnify and hold harmless the developers and distributors from any claims arising from generated images or related usage.</span></p>

Indian Woman LoRA

IndianWoman_z_25.safetensors

Z Image v1.25

v1.04

v1.0

### 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('Trapdaar/IndianWoman_z')
```
Download with Git clone
```
git clone https://www.modelscope.ai/Trapdaar/IndianWoman_z.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: 6b4fd27c7e8519f90e60a9e987a9ad5a2ee5da12d932854d4008fc1d05fd0016