import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("cocktailpeanut/pony-diffusion-v6-xl", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Muapi/jane-doe-2in1")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Jane Doe 简·杜 2in1
Base model: Pony Trained words: jane doe (zenless zone zero), tail, two-tone necktie, fur-trimmed cropped jacket, black crop top, black fingerless gloves, black high-waist shorts, single garter strap, black single thighhigh, black single leg pantyhose, platform boots, tail, o-ring choker, two-tone one-piece swimsuit, detached fishnet sleeves, silver bracelet, black sarong, thighlet, platform sandal
🧠 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": "jane-doe-2in1",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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