hypercars

Base model: Flux.1 D Trained words: A sleek and powerful lamborghini centenario,bugatti,lamborghini aventador, Ferrari 2024, porche,aston martin,jaguar C-X75, MClarem 2021, mclaren artura,Zenvo TSR-S , showcasing its aerodynamic design and luxurious details. The car is parked in a modern urban setting, with its vibrant color shining under the sunlight. The background features a sleek cityscape with contemporary buildings, highlighting the car's futuristic and sleek appearance. Includes shallow depth of field, deep depth of field and bokeh effect, 3D, landscape, A sleek and powerful Lamborghini Centenario, Bugatti, Lamborghini Aventador, Ferrari 2024, Porsche, Aston Martin, Jaguar C-X75, McLaren 2021, McLaren Artura, Zenvo TSR-S, showcasing its aerodynamic design and luxurious details. The car is parked in a modern urban setting, with its vibrant color shining under the sunlight. The background features a sleek cityscape with contemporary buildings, highlighting the futuristic and sleek look of the car. Includes shallow depth of field, deep depth of field and bokeh effect, 3D, beach background, A sleek and powerful Lamborghini Centenario, Bugatti, Lamborghini Aventador, Ferrari 2024, Porsche, Aston Martin, Jaguar C-X75, McLaren 2021, McLaren Artura, Zenvo TSR-S, showcasing its aerodynamic design and luxurious details. The car is parked in a modern urban setting, with its vibrant color shining under the sunlight. The background features a sleek cityscape with contemporary buildings, highlighting the futuristic and sleek look of the car. Includes shallow depth of field, deep depth of field and bokeh effect, 3D, mountains background

🧠 Usage (Python)

🔑 Get your MUAPI key from muapi.ai/access-keys

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:800043@894589", "weight": 1.0}],
    "width": 1024,
    "height": 1024,
    "num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())