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/tachibana-arisu-idolmaster-u149")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Tachibana Arisu(Idolmaster U149)
Base model: SDXL 1.0 Trained words: tcbnarisu_AA,tachibana arisu, brown hair, brown eyes, long hair, bangs , blue dress,hair bow, tcbnarisu_BB,tachibana arisu, brown hair, brown eyes, long hair, bangs, school uniform, backpack,white shirt, green skirt,hair bow, tcbnarisu_CC,tachibana arisu, brown hair, brown eyes, long hair, bangs, ponytail, shoes, track jacket,gym shorts
🧠 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": "tachibana-arisuidolmaster-u149",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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