import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("cocktailpeanut/pony-diffusion-v6-xl", torch_dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Muapi/0250-dirty-urinal-pony-and-1.5")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]0250 dirty urinal（pony and 1.5）
Base model: Pony Trained words: ruanyi0250,brick wall,crack,door,indoors,industrial pipe,reflection,shadow,tile floor,tile wall,tiles,window,dirty,condom wrapper,used condom,multiple condoms,colored condom,cum,toilet paper,dirt,bottle,soda can,pee stain,dripping,water,newspaper,poster (object),graffiti,
🧠 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": "0250-dirty-urinal-pony-and-1.5",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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