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/reverse-upright-straddle-reverse-cowgirl-position-concept")

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

Reverse Upright Straddle / Reverse Cowgirl Position - Concept

preview

Base model: Illustrious Trained words: lora:reverse-cowgirl-position-v6-illustriousxl-lora-nochekaiser:1, reverse cowgirl position, blush, open mouth, 1boy, navel, nipples, collarbone, hetero, nude, lying, sex, completely nude, naughty face, torogao, trembling, straddling, sex from behind, girl on top, cowgirl position, head back, hands on another's hips,

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": "reverse-upright-straddle-reverse-cowgirl-position-concept",
    "lora_strength": 1.0,
    "width": 1024,
    "height": 1024,
    "num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
Downloads last month
28
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for Muapi/reverse-upright-straddle-reverse-cowgirl-position-concept