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/pov-bondage-wall")

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

Pov bondage wall

preview

Base model: Illustrious Trained words: pov bondage wall legs up, feet, , pov bondage wall legs down, standing, (feet dangling:1.2), restrained to wall, , 1girl, 1boy, pov,, 1girl, solo,, fully restrained, arms up, , (arms free:1.3), , (legs free:1.3), arms up, , from behind, butt,, from above,, from below, , dutch angle,, imminent sex,, sex,, imminent anal sex,, anal sex,, internal view, x-ray,, cumming, creampie, ejaculation, trembling,, pussy,, nipples,, penis,, anus,, fully clothed,, open clothes,, naked,, breast grab,, thigh grab,, butt grab,

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": "pov-bondage-wall",
    "lora_strength": 1.0,
    "width": 1024,
    "height": 1024,
    "num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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