How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
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/illustrious-sd1.5-rias-gremory-high-school-d-d")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

[Illustrious, SD1.5] Rias Gremory リアス・グレモリー / High School D×D

preview

Base model: Illustrious Trained words: aarias, long hair, red hair, ahoge, blue eyes, school uniform, black capelet, neck ribbon, collared shirt, white shirt, long sleeves, underbust, black dress, miniskirt, purple skirt, aarias, long hair, red hair, ahoge, blue eyes, school uniform, neck ribbon, collared shirt, white shirt, short sleeves, underbust, black dress, miniskirt, purple skirt

🧠 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": "illustrious-sd1.5-rias-gremory-high-school-d-d",
    "lora_strength": 1.0,
    "width": 1024,
    "height": 1024,
    "num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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