import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Muapi/girl-like-ferris-wheel")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]girl like ferris wheel
Base model: Flux.1 D Trained words: This is a couple anime picture, ferriswheel interior, glass cabin interior, reflection, 2girls, shy, sweat, window, horizon, skyline, scenery, cityscape, amusement park, sitting on seat,, fireworks, aerial fireworks, city, night, city lights, night sky,, kneeling on reflective floor, barefoot,
🧠 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:249125@1221294", "weight": 1.0}],
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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black-forest-labs/FLUX.1-dev