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/squatting-cowgirl-position-concept")

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

Squatting Cowgirl Position - Concept

preview

Base model: Illustrious Trained words: lora:squatting-cowgirl-position-v4-illustriousxl-lora-nochekaiser:1, squatting cowgirl position, blush, open mouth, 1boy, navel, nipples, hetero, sweat, nude, penis, pussy, solo focus, sex, spread legs, vaginal, completely nude, uncensored, pov, nose blush, holding hands, naughty face, torogao, straddling, girl on top, interlocked fingers, cowgirl position, steaming body, ear blush,

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": "squatting-cowgirl-position-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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