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("cocktailpeanut/pony-diffusion-v6-xl", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Muapi/sentient-onahole-personality-excretion")

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

Sentient Onahole & Personality Excretion

preview

Base model: Pony Trained words: human-onahole, (legsless, armsless:1.2), slime girl, {color} skin, shiny skin, translucent skin, cum inflation, deep penetration, excretion, torso grab, transformation

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": "sentient-onahole-personality-excretion",
    "lora_strength": 1.0,
    "width": 1024,
    "height": 1024,
    "num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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