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/implied-fellatio-concept")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Implied Fellatio - Concept
Base model: Illustrious Trained words: lora:implied-fellatio-v5-illustriousxl-lora-nochekaiser:1, implied fellatio, blush, open mouth, 1boy, sitting, ass, comic, hetero, heart, sweat, nude, uncensored, barefoot, pussy, pants, belt, from behind, feet, completely nude, toes, kneeling, anus, black pants, on bed, soles, back, erection, formal, trembling, suit, all fours, bulge, 2koma, steaming body, sound effects, erection under clothes, clothed male nude female, looking at penis, penis awe, instant loss,
🧠 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": "implied-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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