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/mouth-pull-pov-illustrious")

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

Mouth Pull - POV - Illustrious

preview

Base model: Illustrious Trained words: mouth_pull, mthpll, open mouth, tongue out, pulling mouth, pov, pov hands, mouth_pull, mthpll, upper body, open mouth, tongue out, pulling mouth, pov, pov hands, hands pulling mouth, pull another's mouth, drool, saliva, finger in another's mouth, tears, frown, cum, cum on hair, cum on face, cum on tongue, cum in mouth, teeth, oral invitation, forced smile, tears, rolling eyes

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