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/ancient-roman-clothing")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Ancient Roman clothing
Base model: Flux.1 D Trained words: tunica laticlavia, tunica angusticlavia, tunica recta, tunica, clavi, exomis, toga praetexta, toga trabea, toga pura, toga exigua, stola, palla, braccae, sagum, paenula, subligaculum, strophium, calcei senatorii, calcei patricii, soleae, carbatina, calcei
🧠 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:1434675@1957677", "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