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/piledriver-concept")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Piledriver - Concept
Base model: Illustrious Trained words: lora:piledriver-v4-illustriousxl-lora-nochekaiser:1, piledriver, blush, 1boy, navel, nipples, hetero, completely nude, uncensored, lying, teeth, penis, barefoot, pussy, sex, on back, bra, feet, vaginal, toes, soles, motion lines, licking, licking foot, collarbone, bare shoulders, bare arms,
🧠 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": "piledriver-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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