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/atago-azur-lane-sd1.5-sdxl")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]atago(azur lane)爱宕（犬）（碧蓝航线）SD1.5&SDXL
Base model: SDXL 1.0 Trained words: atago_(azur_lane), brown eyes,mole_under_eye,military_uniform, garter_straps, skirt,black legwear,white gloves,, atago_(azur_lane),brown_eyes, japanese_clothes, hair_flower,frilled_sleeves,black gloves, white_scarf,, atago_(azur_lane), mole_under_eye, white_ribbon, hair_ribbon,wedding_dress, bridal_veil, bridal_gauntlets,white legwear,garter_straps,, atago_(azur_lane),brown_eyes,mole_under_eye, sailor_collar, serafuku, pantyhose, cardigan,pleated skirt,, atago_(azur_lane),brown_eyes, race queen,mole_under_eye, wrist_cuffs,black_bikini,highleg, shrug_(clothing),black legwear,, atago_(azur_lane),atago_(summer_march)_(azur_lane), brown eyes,mole_under_eye,white_bikini,sarong,
🧠 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": "atagoazur-lane爱宕犬碧蓝航线sd15sdxl",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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