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/takao-azur-lane")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]takao(azur lane)高雄（獒）（碧蓝航线）
Base model: SDXL 1.0 Trained words: takao_(azur_lane),long hair, military_uniform,white_gloves, white_skirt, pantyhose,, takao_(azur_lane),long hair,black serafuku,black skirt,pantyhose,, takao_(azur_lane),long hair,race_queen, bare_shoulders, elbow_gloves,cleavage cutout, bodysuit,, takao_(azur_lane),long hair,white_swimsuit,, takao_(azur_lane),hair flower, chinese clothes, smile,white legwear,garter_straps,bridal_gauntlets,side-tie,
🧠 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": "takaoazur-lane高雄獒碧蓝航线",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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