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/ningguang-3in1-sd15-xl-pony")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Ningguang εε 3in1 (SD15 XL Pony)
Base model: SDXL 1.0 Trained words: ningguang (genshin impact), china dress, elbow gloves, hair stick, claw ring, red tassel hair ornament, high heels, fur collar, detached sleeves, ningguang (orchid's evening gown) (genshin impact), halter dress, blue tassel hair ornament, bracelet, feather hair ornament, strappy heels, fur-trimmed sleeves, ningguang-casual, halter dress, mary janes, high-waist skirt, blouse, wide sleeves, hair up, bead necklace, orange tassel hair ornament
π§ Usage (Python)
π 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": "ningguang-εε
-3in1-sd15-xl-pony",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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