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/rem-re-zero-re")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Rem (レム) - Re:Zero (Re：ゼロから始める異世界生活)
Base model: Pony Trained words: lora:rezero-rem-s1-ponyxl-lora-nochekaiser:1, rem, blue eyes, blue hair, hair ornament, hair over one eye, hair ribbon, short hair, x hair ornament, large breasts,, apron, black bow, black dress, black ribbon, bow, detached sleeves, dress, frilled apron, frilled sleeves, frills, juliet sleeves, long sleeves, maid, neck ribbon, puffy sleeves, ribbon, roswaal mansion maid uniform, thighhighs, two-tone dress, waist apron, white bow, white dress, white thighhighs,
🧠 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": "rem-re-zero-re",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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