import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-xl-early-release-v0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Muapi/marie-rose-dead-or-alive-series")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Marie Rose - Dead or Alive series
Base model: Illustrious Trained words: marie rose, long hair, blue eyes, blonde hair, hair ornament, black dress, hair ribbon, bare shoulders, twintails, gothic lolita, gothic outfit, flat chest, collar, black ribbon, thigh strap, straps, frilled sleeves, detached sleeves, choker, thighhighs, gloves, bow, ribbon, blue one-piece swimsuit, highleg swimsuit, blue thighhighs, blue sleeves, frilled swimsuit, battle leotard, school uniform, black necktie, heart choker, necktie, glasses, white shirt, cropped shirt, red skirt, plaid skirt, school outfit, white shirt, off-shoulder shirt, cropped top, open shorts, short shorts, denim shorts, pink sneakers
🧠 Usage (Python)
🔑 Get your MUAPI key from muapi.ai/access-keys
import requests, os
url = "https://api.muapi.ai/api/v1/sdxl-lora-image"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
"prompt": "masterpiece, best quality",
"lora_model": "marie-rose-dead-or-alive-series",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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