How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
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/on-side-missionary-concept-commission")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

On Side Missionary - Concept - COMMISSION

preview

Base model: Illustrious Trained words: lora:on-side-missionary-v8-illustriousxl-lora-nochekaiser:1, on side missionary, blush, 1boy, ass, hetero, sweat, completely nude, lying, teeth, tongue, tongue out, sex, armpits, arm up, on side, sex from behind, licking, condom, condom wrapper, used condom, licking armpit, disgust, clenched teeth,

๐Ÿง  Usage (Python)

๐Ÿ”‘ 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": "on-side-missionary-concept-commission",
    "lora_strength": 1.0,
    "width": 1024,
    "height": 1024,
    "num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
Downloads last month
17
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for Muapi/on-side-missionary-concept-commission