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/mita-miside")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Mita - MiSide
Base model: Illustrious Trained words: Mita, 1girl, low twintails, red shirt, headband, hair scunchie, pleated skirt, thighhighs, Mila, 1girl, glasses, jacket, necktie, pleated skirt, hair ornament, ShortHairMita, 1girl, short hair, hair bow, red shirt, pleated skirt, thighhighs, KindMita, 1girl, long hair, red shirt, pleated skirt, thighhighs, SleepyMita, 1girl, sleep mask, messy hair, pajamas, shorts, CoolMita, 1girl, hat, gloves, red shirt, blue pleated skirt, red thighhighs, ponytail
🧠 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": "mita-miside",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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