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("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Muapi/animagine-sailor-jupiter-sailor-moon")

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

[Animagine] Sailor Jupiter セーラージュピター / Sailor Moon

preview

Base model: SDXL 1.0 Trained words: aajupiter, long hair, brown hair, ponytail, hair bobbles, tiara, earrings, green eyes, green choker, green sailor collar, pink bowtie, white shirt, elbow gloves, white gloves, green skirt, pleated skirt, bare legs, aajupiter, long hair, brown hair, ponytail, hair bobbles, green eyes, school uniform, brown sailor collar, white shirt, white ribbon, long sleeves, long skirt, brown 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": "animagine-sailor-jupiter-セーラージュピター-sailor-moon",
    "lora_strength": 1.0,
    "width": 1024,
    "height": 1024,
    "num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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