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README.md
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---
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license: openrail++
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tags:
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- lora
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- stable-diffusion
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- flux.1-d
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model_type: LoRA
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---
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# topmodel
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**Base model**: Flux.1 D
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**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
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## 🧠 Usage (Python)
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🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys)
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```python
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import requests, os
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url = "https://api.muapi.ai/api/v1/flux_dev_lora_image"
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headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
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payload = {
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"prompt": "masterpiece, best quality, 1girl, looking at viewer",
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"model_id": [{"model": "civitai:708602@792571", "weight": 1.0}],
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"width": 1024,
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"height": 1024,
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"num_images": 1
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}
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print(requests.post(url, headers=headers, json=payload).json())
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```
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