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/cum-pool-concept")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Cum Pool - Concept
Base model: Illustrious Trained words: lora:cumpool-v2-illustriousxl-lora-nochekaiser:1, cum pool, blush, 2boys, nipples, hetero, sweat, completely nude, uncensored, lying, penis, pussy, solo focus, spread legs, cum, on back, cum in pussy, oral, fellatio, group sex, after sex, cumdrip, spread pussy, threesome, after vaginal, pov, pov hands,
🧠 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": "cum-pool-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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