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/public-exposure-embarrassed-uterus-drawing")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Public Exposure, Embarrassed, Uterus Drawing
Base model: Pony Trained words: sittingspread, white socks, spread legs,pussy, nude,1girl,solo, uterusdrawing,nude,, 1girl,solo, standingarms, standing, on desk,nude,nsfw,school desk,full body,, sittingknees, nude,nsfw,, shockedface,embarrassed,, sittingcovering, 1girl, solo, nude, pussy, uncensored, breasts, short hair, covering,face,, embarrassedspreadpussy,1girl, solo, nude, naked, embarrassed, blush, on desk, indoors, filming, camera, digital camera,v,
🧠 Usage (Python)
🔑 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": "public-exposure-embarrassed-uterus-drawing",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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