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/spitroast-concept-commission")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Spitroast - Concept - COMMISSION
Base model: Illustrious Trained words: lora:spitroast-v7-illustriousxl-lora-nochekaiser:1, spitroast, blush, standing, nipples, hetero, sweat, uncensored, penis, sex, from side, vaginal, testicles, oral, trembling, fellatio, motion lines, sex from behind, group sex, hand on another's head, cum in mouth, threesome, nipple stimulation, nipple tweak, mmf threesome, standing sex, double penetration, irrumatio, deepthroat, completely nude,
🧠 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": "spitroast-concept-commission",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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