README.md

---
license: openrail++
tags:
  - lora
  - stable-diffusion
  - flux.1-d
model_type: LoRA
---

# topmodel

![preview](./preview.jpg)

**Base model**: Flux.1 D  
**Trained words**: A stunning woman with a sculpted body, perfectly proportioned curves, and a flawless face. Her skin is radiant, and her facial features are symmetrical and harmonious, highlighting large expressive eyes, full lips, and a captivating smile. She is wearing a casual outfit consisting of a fitted T-shirt and jeans that accentuate her figure. In another scene, she is dressed in elegant lingerie, including a delicate bra and matching panties, showcasing her perfect physique, A breathtaking woman, combining an athletic and well-defined body with a face of classic beauty. Her eyes are piercing, and her hair falls softly around her face, framing her delicate features. She is wearing a sophisticated dress that hugs her curves, enhancing her magnetic presence. In another setting, she is seen in a comfortable casual outfit with a stylish blouse and skirt, and later in luxurious lingerie, featuring a lacy bra and matching underwear, A woman with an impressive physique and an absolutely perfect face, worthy of a work of art. Her skin is smooth and flawless, her eyes shine with a captivating intensity, and her lips are perfectly shaped. She is in a luxurious setting, wearing a stunning evening dress that highlights every detail of her mesmerizing figure. In another scene, she is casually dressed in a fitted T-shirt and shorts, and also appears in intimate lingerie, including a silk bra and matching panties

## 🧠 Usage (Python)

🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys)

```python
import requests, os
url = "https://api.muapi.ai/api/v1/flux_dev_lora_image"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
    "prompt": "masterpiece, best quality, 1girl, looking at viewer",
    "model_id": [{"model": "civitai:708602@792571", "weight": 1.0}],
    "width": 1024,
    "height": 1024,
    "num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
```