import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-xl-early-release-v0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Muapi/multiple-penises-concept")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Multiple Penises - Concept
Base model: Illustrious Trained words: lora:multiple-penises-v6-illustriousxl-lora-nochekaiser:1, multiple penises, blush, open mouth, navel, nipples, hetero, sweat, nude, uncensored, penis, tongue, solo focus, front-to-back, tongue out, cum, completely nude, saliva, erection, arms behind back, group sex, facial, cum in mouth, cum on hair, bukkake, cum on tongue, after fellatio, finger in another's mouth, mouth pull, surrounded by penises, disemboded penis
🧠 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": "multiple-penises-concept",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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