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/after-fellatio-concept")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]After Fellatio - Concept
Base model: Illustrious Trained words: lora:after-fellatio-v6-illustriousxl-lora-nochekaiser:1, after fellatio, looking at viewer, pout, nose blush, solo focus, blush, 1boy, hetero, sweat, uncensored, penis, pants, belt, squatting, clothes pull, hand on another's head, pants pull, caught, completely nude, full mouth,
🧠 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": "after-fellatio-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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